Research Article | 20-February-2013
The wormhole attack is a severe threat to wireless sensor networks. Most existing countermeasures for detecting and locating wormhole links either require extra hardware or are too complex for the inherently capability-constrained sensor nodes. Actually, wormhole links can enormously change the original sensor network topology. In this paper, we introduce the HCA4DW mechanism for detecting and locating wormholes in wireless sensor networks. It is based on the basic idea that the change of
Lan Yao,
Zhibin Zhao,
Ge Yu
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 209–223
Article | 01-December-2016
Wireless Sensor Networks (WSN) is often deployed in hostile environments, and the attacker can easily capture nodes to inject false data to the sensor network, which can cause serious results. This paper has studied various false data filtering techniques recently in wireless sensor network. Based on encryption technology, we have analyzed and compared the difference of various existing filtering strategies, then have pointed out the merits and demerits of them in detailed. At last, we give the
Ze LUO,
Lingzhi ZHU,
Yunjie CHANG,
Qingyun LUO,
Guixiang LI,
Weisheng LIAO
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 4, 1795–1821
Article | 01-December-2012
The properties of underwater acoustic channel are quite different from those of terrestrial wireless sensor networks. There are many challenges to design an efficient media access control (MAC) protocol for underwater acoustic sensor networks (UWASNs). In order to overcome the long propagation delay and low available bandwidth of UWASNs, an enhanced dynamic token protocol (EDTP), is proposed in the paper. It uses token passing queue (TPQ) and TPQ backup method to transfer the token packets
Guangyu Fan,
Jian Li,
Wenhong Liu,
Yang Zhao
International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 4, 879–895
Article | 01-September-2016
Together with an explosive growth of the mobile applications and emerging of cloud computing concept, mobile cloud computing (MCC) has been introduced to be a potential technology for mobile services. Wireless Sensor Networks (WSN) is the technology that connects the virtual world and the physical world where nodes can autonomously communicate among each other and with intelligent systems. This paper describes the concept of wireless sensor networks and mobile cloud computing. Recently, much
Chengwei Hu
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 3, 1563–1591
Article | 01-December-2015
In-network data aggregation plays an important role on energy consumption from the point of reducing the amount of communication in cluster-based wireless sensor networks. The selection of cluster heads is usually based on two criteria which are the number of cluster heads network needed and the times of every node serving as the cluster head. Too much or too little cluster head number will shorten the network lifetime for the energy premature depletion of some sensor nodes, so it has a great
Mingxin Yang
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 4, 1935–1955
Article | 01-April-2018
We propose a routing scheme for data gathering and aggregation in wireless sensor networks. The scheme aims to optimise an aggregation tree in order to minimise the energy dissipation of data aggregation and transmission. A modified particle swarm optimisation algorithm is developed in the proposed scheme. In addition, the routing scheme uses a generic data aggregation model which accommodates different correlation conditions. The performance of the proposed scheme is evaluated and compared
Yuexian Wang,
Cheng Chew Lim
International Journal of Advanced Network, Monitoring and Controls, Volume 1 , ISSUE 1, –
Article | 01-March-2015
This paper proposes a deployment algorithm based on the electrostatic field theory for mobile wireless sensor networks. The nodes and obstacles in the deployment area are taken as the charged particles; and the particles will move due to the Coulomb’s force from other particles or obstacles. Finally, the nodes automatically spread to the whole area by the resultant action and complete the deployment. Four metrics, including coverage, uniformity, deployment time and average displacement distance
Jiang Xu,
Huanyan Qian,
Wenhao Ying,
Jun Zhang
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 1, 516–537
Research paper | 20-February-2013
The objective of this paper is to study the image communication behavior of a wireless video sensor, and analyze its performance under resource constrained wireless multimedia sensor networks. Energy consumption and rate distortion model of DCT-based coded image compression and transmission is developed. Based on energy consumption and rate distortion model proposed, resource allocation is optimized with limited energy and bandwidth. Number of DCT coefficient and step size of quantization table
Xiong Zheyuan,
Fan Xiaping,
Liu Shaoqiang,
Li Yongzhou,
Zhang Huan
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 120–135
Article | 03-September-2013
degree of freedom (DOF) spatial partition; then the localization algorithm is proposed to coordinate multiple sensors nodes to achieve two DOF spatial partitions. To effectively solve the problem of WSN energy imbalance, a strategy of neighbor table multicast and an electoral method of the dynamic cluster head based on the biggest energy are presented in the distributed wireless sensor networks. The experiments show that the method proposed here has the advantages in high accuracy and strong anti
Baihua Shen,
Guoli Wang
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 4, 1400–1418
Research Article | 20-February-2013
The main objective of wireless sensor network design is to maximize network lifetime. The network topology, which is the important foundation of upper layer protocols, serves as the supportive groundwork for this goal. We constructed the model of sensor networks, and investigated the property of topology with complex network theory. Three statistical parameters were used to describe the network structure, and then some ideal characteristics were concluded for topology. The characteristics of
Linfeng Liu,
Jiagao Wu,
Fu Xiao,
Ruchuan Wang
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 58–76
Article | 05-June-2013
A quasi-optimal query propagation algorithm Bi-Filtered Forwarding (BFF) for quickly routing a query throughout a wireless sensor network is proposed in this paper. BFF is implemented in a limited flooding manner for guaranteeing quick query propagation and low message consumption in wireless sensor networks. The experimental results show that in comparison with the flooding algorithm, BFF can greatly reduce the redundant message consumption during the procedure of real time query propagation
Junhu Zhang,
Xiujuan Zhu,
Hui Peng
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 3, 993–1011
Research Article | 20-February-2013
In order to reduce the location estimation error in Wireless Sensor Network(WSN). A localization algorithm is proposed combining adaptive estimation, PI-learning and spring-relaxation techniques for wireless sensor networks in this paper. Our proposed method takes the advantages of the spring-relaxation technique, thus it inherits its simplicity. The overall accuracy of the location estimations is improved by introducing adaptive estimation and PI-learning. Moreover, it requires only a few
Li Haiyan,
Hu Yun-an,
Zhu Min
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 317–332
Article | 01-December-2015
A basic tenet of wireless sensor networks is that processing of data is less expensive in terms of power than transmitting data. A data compression method is proposed to limit the amount of data transmitted within the network. In this paper, we propose a novel data compression algorithm suitable for low power computing devices. In our method, a data point density algorithm is used to determine which points to discard in a given data region. This algorithm is applied to uniform sections
Ahadul Imam,
Justin Chi,
Mohammad Mozumdar
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 4, 2083–2115
Article | 01-December-2014
In wireless sensor networks (WSNs), node’s locations play a critical role in many applications. Having a GPS receiver on every sensor node is costly. In this paper, we propose an adaptive mobile anchor localization algorithm based on ant colony optimization , firstly, some virtual anchor nodes are distributed in the area, second, ant colony was used which has the maximum of transition probabilities to obtain the optimal path, last, the centroid-weighted localization algorithm was proposed to
Yan Hong Lu,
Ming Zhang
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 4, 1943–1961
Article | 01-June-2016
Wireless Sensor Networks (WSNs) suffer from many security attacks when deployed either in remote or hostile environments. Among possible attacks, the Sybil attack is one of the severe attacks in which malicious nodes report false identities and location information such that the remaining nodes believe that many nodes exist in their vicinity. The current study proposes a method for detecting Sybil attack using sequential analysis. This method works in two stages. First, it collects the
P. Raghu Vamsi,
Krishna Kant
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 651–680
Article | 01-March-2012
air quality monitoring system based on the technology of wireless sensor networks (WSNs). It also integrates with the global system for mobile communications (GSM). The system consists of sensor nodes, a gateway, and a control center managed by the LabVIEW program through which sensing data can be stored in a database. This system is deployed to the main roads in the Taipei city to monitor the carbon monoxide (CO) concentration caused by vehicle emissions. The experimental results show that
Jen-Hao Liu,
Yu-Fan Chen,
Tzu-Shiang Lin,
Chia-Pang Chen,
Po-Tang Chen,
Tzai-Hung Wen,
Chih-Hong Sun,
Jehn-Yih Juang,
Joe-Air Jiang
International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 1, 191–214
Research paper | 01-September-2014
In this paper, we propose a novel posterior belief clustering (PBC) algorithm to solve the tradeoff between target tracking performance and sensors energy consumption in wireless sensor networks. We model the target tracking under dynamic uncertain environment using partially observable Markov decision processes (POMDPs), and transform the optimization of the tradeoff between tracking performance and energy consumption into yielding the optimal value function of POMDPs. We analyze the error of
Bo Wu,
Yanpeng Feng,
Hongyan Zheng
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 3, 628–641
Article | 01-September-2015
Recent trends in wireless sensor networks leads to the development of new protocols for data gathering. In this paper, a secure energy efficient location aware data gathering approach is introduced to secure data gathering. An Elliptic Curve Diffie Hellman Key Exchange (ECDHKE) algorithm is utilized for key generation and key exchange between the sensor nodes to maintain security and prevent the data from malicious nodes. The performance of the proposed scheme is validated in terms of packet
M. Roseline Juliana,
S. Srinivasan
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 3, 1748–1767
Research Article | 15-February-2020
Decrease in the time interval between the first node death and the last node death, due to the completion of their energy supply, is the main goal of load-balancing methods in Wireless Sensor Networks (WSN). This paper proposes a Load-Balancing Enhancement (LBE) method, in WSN. LBE method uses a mobile data collector to data gathering from sensor nodes. The mobile data collector can directly communicate with the base station. Indeed, the mobile data collector acts as an interface between
Ahmad Patooghy,
Meisam Kamarei,
Ali Farajzadeh,
Fatemeh Tavakoli,
Mehdi Saeidmanesh
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–5
Research Article | 13-December-2017
Distributed wireless sensor networks often suffer problems on detecting malicious nodes, which always bring destructive threats. Thus, sensor networks have to supply authentication services for sensor identity and data communication. As matter of fact, intrusion detection and prevention schemes are always integrated in sensor security appliances so that they can enhance network security by discovering malicious or compromised nodes. This paper provides adaptive security modules to improve
Meng-Yen Hsieh,
Yueh-Min Huang
International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 1, 70–86
Research Article | 15-February-2020
In many outdoor locations solar power provides the greatest power densities for energy harvesting to power wireless sensor networks in comparison to other practical alternative such as wind, vibrations or temperature gradients. Since solar power is highly variable with location and time, it is necessary to optimise the sensor nodes for individual locations. Presented here, is an assessment of the solar power availability in Manchester, UK (53°28′N, 2°14′W). Wireless
Ralph Stevenson-Jones,
Med Benyezzar,
Patricia Scully
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–5
Article | 01-December-2015
Wireless sensor networks (WSNs) are composed of set sensor nodes communicating through wireless channels with limited resources. Therefore, several routing protocols and approaches about energy efficient operation of WSNs have been proposed. Clustering algorithm based routing protocols are well used for efficient management of sensing sensor node energy resources. However, many researches were focused on optimization of well-known hierarchical routing approaches of WSNs using fuzzy logic system
hassan EL ALAMI,
Abdellah NAJID
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 4, 2286–2306
Article | 01-June-2016
Data Aggregation (DA) is one of the most frequently used techniques in Wireless Sensor Networks (WSNs) to improve the network lifetime. It involves gathering, consolidating, and routing the sensory data collected by sensor nodes. However, research studies have demonstrated that the dependability of the DA process affects severely when malicious nodes are present in the network. Many security solutions using cryptography and Intrusion Detection System (IDS) have been proposed in the literature
P. Raghu Vamsi,
Krishna Kant
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 537–562
Research Article | 15-February-2020
Marine environmental monitoring based on wireless sensor networks (WSN) is a challenging area of research due to the instability of the water field. Due to the characteristics of the water environment, there are certain considerations which must be taken into account before the establishment of marine based wireless sensor networks. These include the deployment of wireless nodes (WNs), energy consumption, network connectivity and security. This paper compares and contrasts the basic parameters
Walid Elgenaidi,
Thomas Newe
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–5
Research Article | 13-December-2017
required in many applications in the wireless sensor networks, our study focuses on the ZigBee network which is a new industrial standard for sensor networks. Some previous related papers improved the broadcast reliability by introducing redundant transmission and increasing coverage ratio of every receiver node, but there still exists probability of packet loss and extra communication cost due to redundant broadcast. This paper proposes an efficient acknowledgement-based approach for reliable data
Tien-Wen Sung,
Ting-Ting Wu,
Chu-Sing Yang,
Yueh-Min Huang
International Journal on Smart Sensing and Intelligent Systems, Volume 3 , ISSUE 3, 504–520
Article | 01-December-2012
Wireless sensor networks (WSN) are usually deployed in hostile environments, which having a wide variety of malicious attacks. As various applications of WSN have been proposed, security has become one of the big research challenges dan is receiving increasing attention. In order to insure the security of communication in wireless sensor networks, we proposed a new ID-based signcryption scheme using bilinear pairing. Under the computational Diffie-Hellman assumption, the security of the scheme
Zhimin Li,
Xin Xu,
Zexiang Fan
International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 4, 799–810
Article | 01-September-2016
Wireless sensor networks (WSNs) are prone to various kinds of threats and are subjected to several constraints like energy, communication overhead and lifetime. Application of bio-inspired algorithms based trust models has shown significant improvement in the security mechanism of the wireless sensor networks. This paper presents a brief survey on application of Ant Colony Optimization (ACO) and significance of trust models in WSNs. ACO application in routing, increase in lifetime, energy
G. Edwin Prem Kumar,
K. Baskaran,
R. Elijah Blessing,
M. Lydia
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 3, 1243–1260
Article | 01-September-2016
With the foundation of the video probabilistic sensing model that sensing direction is steerable, the study on path coverage enhancement algorithm for video sensor networks has been improved, analysis the position of effective center of mass in the sensor’s model, the network calculates the gravitation between the target track points and the trace nodes, and the repulsive force between both trace nodes of the target track points, then the trace node adjusts its sense direction, make the
Zhang Ju-Wei,
Li Na,
Wu Ning-Ning,
Shi Jingzhuo
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 3, 1341–1361
Article | 05-June-2013
For estimating the missing data of wireless sensor networks, an estimation algorithm called HD method, which can make use of sensoring space-time correlation of the data, was proposed based on mathematical Hermite and DESM statistical models. The algorithm not only can adaptively adjust the time and space weights, but also can accurately estimate the missing or unavailable data. The experimental results show that the algorithm has good stability and relatively high estimation accuracy.
Nan Yan,
Ming-zheng Zhou,
Li Tong
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 3, 1032–1053
Research paper | 01-June-2011
This paper presents the impact of utilizing a biased energy distribution (BED) scheme for clustering sensor networks. In clustering sensor networks, some of the nodes are elected as aggregators and they compress the data from their cluster members before sending the aggregated data to the sink. Existing clustering routing protocols assume that all the nodes are provided with equal amount of energy but this shortens the network lifetime and makes the network unstable. This paper proposes a
A. F. Salami,
H. Bello-Salau,
F. Anwar,
A. M. Aibinu
International Journal on Smart Sensing and Intelligent Systems, Volume 4 , ISSUE 2, 161–173
Article | 05-September-2013
Wireless sensor networks are attracting attention as network technology that is essential to the expansion of the ICT society. One of the challenges facing the implementation of wireless sensor networks is the problem of load concentrations at local sensor nodes. Sink node allocation methods have recently been proposed to resolve this problem, but they do not solve the problem of the dramatic deterioration in operating times caused by an increase in the sensor nodes. This paper proposes a drive
Masato Noto,
Seiji Yoneda
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 4, 1533–1558
Article | 01-September-2016
Sensor network is a data-centric network, which provides data collection, storage and query services. Data storage and query is one of the hot spot in the research of sensor networks. In order to solve the problem of low efficiency of storage and query，high energy consumption in sensor networks, we put forward a scheme that storing distributed data of wireless sensor network based on information processing cloud. Information processing cloud is made up of a group of sensor nodes around the
LUO Qing-Yun,
ZHU Ling-Zhi,
CHAGN Yun-Jie,
ZHAO Jin-Guo,
LIAO Wei-Sheng,
HE Rui
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 3, 1614–1636
Article | 16-December-2013
Localization schemes have a significant role in wireless sensor networks. During random deployment in an untouched area, the nodes have to be capable of self-management to determine their position. Received Signal Strength (RSS) and DV-Hop, are two different schemes that each have environment or hop dependency problem. Hybrid localization scheme, called H-Loc, is a combination of RSS and DV-Hop method. This scheme is proposed to make the selection of distance determination process based on the
Prima Kristalina,
Wirawan,
Gamantyo Hendrantoro
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 5, 1986–2010
Research Article | 12-December-2017
In view of unbalanced link bandwidth and node energy consumption in Underwater Acoustic Sensor Networks (UASNs), a distributed topology optimization control algorithm (EL-BatCA) is proposed, which is based on balanced network energy and load. A hierarchical network model is designed based on minimum-hop, by which the nodes are divided into n layers. EL-BatCA is implemented through three stages-topology graph formation in initialization, an innovative transmission power adjustment in topology
Wenyan Fu,
Deshi Li,
Jian chen,
Yanyan Han,
Jugen Nie
International Journal on Smart Sensing and Intelligent Systems, Volume 4 , ISSUE 1, 138–159
Article | 27-December-2017
Biswajit Panja,
Zachary Scott,
Priyanka Meharia
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 1, 561–580
Article | 01-March-2012
of distributed detection in wireless sensor networks have been considered. In this paper, we review sensing algorithms and approaches of distributed detection and their relevance to CR systems.
Ramanarayanan Viswanathan,
Babak Ahsant
International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 1, 177–190
Research Article | 15-February-2020
The dynamic re-programming of embedded systems is a long-standing problem in the field. With the advent of wireless sensor networks and the ‘Internet of Things’ it has now become necessary to be able to reprogram at run-time due to the difficulty of gaining access to such systems once deployed. The issues of power consumption, flexibility, and operating system protections are examined for a range of approaches, and a critical comparison is given. A combination of
Richard Oliver,
Adriana Wilde,
Ed Zaluska
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–6
Research Article | 20-February-2013
Underwater wireless sensor network (UWSN) is a special kind of wireless sensor network which is composed of a large quantity number of wireless sensor nodes deployed in the water. While there are extensive studies on deploy-issue of terrestrial wireless sensor networks (WSN), UWSN has not been paid enough attention due to the challenges of UWSN, such as low available bandwidth, highly varying multipath, and large propagation delays. In this paper, we propose a depth-adjustment scheme to
Jiagao Wu,
Yinan Wang,
Linfeng Liu
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 244–258
Research Article | 20-February-2013
Outlier detection plays a crucial role in secure monitoring in Wireless Sensor Networks (WSN). Moreover, outlier detection techniques in WSN face the problem of limited resources of transmission bandwidth, energy consumption and storage capacity. In this paper, similar flocking model is proposed and a cluster algorithm based on similar flocking model (CASFM) is put forward to detect outliers in real-time stream data collected by sensor nodes. The similar flocking model improves the Vicsek model
Cheng Chunling,
Wu Hao,
Yu Zhihu,
Zhang Dengyin,
Xu Xiaolong
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 18–37
Research Article | 20-February-2013
graph and the random geometric graph via an introduction process to produce an acquaintanceship graph Gn,n0. We find that the maximum component of graph Gn,n0 transitions rapidly from small components to a giant component when n0 is larger than a threshold, the threshold is derived, and applications for sensor networks are presented.
Zhihong Liu,
Jianfeng Ma,
Yong Zeng
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 77–94
Article | 05-June-2013
authentication protocol with mutual access is proposed for the body sensor networks (BSN) in healthcare application. It is demonstrated that the proposed protocol has its advantages over the existing two-factor user authentication schemes.
Chen-Guang He,
Shu-Di Bao,
Ye Li
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 3, 910–931
Article | 01-March-2015
Junfeng Qiao,
Sanyang Liu,
Xiaogang Qi,
Gengzhong Zheng
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 1, 821–
Article | 02-November-2017
The use of wireless sensor networks to protect sensitive facilities or international borders has attracted more and more attention. In contrast to previous studies in which the barrier coverage problem was solved under the assumption of an omni-directional sensing model, the current study presents a scheme for constructing k-barrier coverage using randomly deployed sensors with directional sensing model. The performance of the proposed scheme was evaluated using the ns-2 network simulator and
Kuo-Feng Ssu,
Wei-Tong Wang,
Feng-Kuang Wu,
Tzu-Ting Wu
International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 1, 75–93
Article | 16-December-2013
Multi-hop Clustering is more preferred than the single-hop one because the transmission range of the Wireless Sensor Networks (WSN) nodes is not determined by the size of the network area. However, the multi-hop method brings a new problem related to the workload imbalance between the cluster-heads (CHs). Unequal Clustering becomes the most proposed solution of the unbalance load, but the calculation of the radius clusters still become a big challenge to achieve a maximum balancing degree. In
Amin Suharjono,
Wirawan,
Gamantyo Hendrantoro
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 5, 1808–1829
Article | 01-September-2014
Node localization is one of the key technologies of wireless sensor networks (WSN). Due to the indoor environment requires a high positioning accuracy, an improved algorithm based on RSSI is put forward. In terms of RSSI ranging, the error correction coefficient received from self-correcting locator beacon nodes, and then had been applied to distance solving from unknown nodes to the beacon nodes. In the choice of weights, the algorithm uses inverse distance and replaces the method of
En-jie Ding,
Xin Qiao,
Fei Chang
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 3, 1156–1173
Article | 05-September-2013
Zhiming Zhang,
Xiaoyong Xiong,
Jiangang Deng
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 4, 1637–1652
Research Article | 15-February-2020
Hemavathi Natarajan,
Sudha Selvara
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–8
research-article | 30-November-2019
Receive
Transmit
Transmit
Transmit
Buffer capacity (bits)
10,000
1000
1000
1000
GTS traffic parameters
MSDU interarrival time (sec)
Exponential (2)
Constant (1.0)
Exponential (2)
Constant (1.0)
MSDU size (bits)
Exponential (912)
Constant (0.0)
Exponential (912)
Constant (0.0)
Acknowledgment
Enabled
Disabled
Enabled
Disabled
Furthermore, the working of all three networks can be summarized as shown in Figure 3.
Figure 3:
Flow Chart: Working of GTS, non-GTS, and mixed sensor networks
S. S. Bamber
International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–12
Research Article | 10-April-2013
With the increasing number of applications for Wireless Sensor Networks (WSNs), different Quality of Services (QoS) levels based on the type of applications are required. An increasing research interest has been noted in the provision of QoS support in WSNs. QoS support in WSNs is challenging because of very limited resources, such as battery power, processing power, memory, and bandwidth. An earlier study introduced a QoS control approach based on the Gur Game. The Gur Game-based scheme can
Hao-Li Wang,
Rong-Guei Tsai,
Long-Sheng Li
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 2, 772–790
Article | 01-September-2016
Wireless Sensor Networks (WSNs) are often deployed in remote and hostile environments to monitor the mission critical tasks. In such environments, cooperation among nodes plays a vital role for successful execution of protocol operations. However, node cooperation may not be guaranteed when malicious activities are present in the WSNs. Trust management based security has received considerable attention to use along with cryptography based security to improve the cooperation among nodes in the
P. Raghu Vamsi,
Krishna Kant
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 3, 1362–1383
Article | 01-September-2014
B Victoria Jancee,
S Radha,
Nandita Das
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 3, 1287–1309
Article | 01-June-2016
G. Edwin Prem Kumar,
K. Baskaran,
R. Elijah Blessing,
M. Lydia
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 818–844
Research Article | 02-November-2017
down the data redundancy which is related to correlated sensor readings and using a probability model to efficiently compress data at the cluster heads. As in the case of sensor networks the data reliability goes down as the network resource depletes and these types of networks lacks any central synchronization making it even more a global problem to compare different reading at the central coordinator. The complexity of calibrating each sensor and using an adaptable measured threshold to correct
Vasanth Iyer,
Garimella Ram Murthy,
M.B. Srinivas
International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 4, 912–921
Article | 01-December-2015
In optical sensor networks, the adversary can inject false reports and old packets, both of which can cause false alarms and drain out the limited energy of the network. Existing security mechanisms can detect and filter out only false reports but not the old packets during forwarding. Furthermore, they cannot resist cooperative attacks. A MAC and one-way function based Filtering Scheme (MOFS) was presented. Each node distributes its key and initial hash value to some other nodes after
ZHAO Jing-Guo,
LUO Qing-Yun,
Liu Zhi-Xiong
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 4, 2247–2266
Article | 01-June-2016
A random key pre-distribution scheme based on key updating (RKKU) was proposed, which is effective in wireless sensor networks. Firstly, the base station will randomly distribute some keys, a hash function and some code slices to each node. Furthermore, the RKKU scheme compares with the information of some random key to find the same key, and computes the communication key between two sensor nodes with one-way hash function. Since the one-way hash function can ensure that the attacker cannot
ZHU Ling-Zhi,
HE Rui,
ZHANG Jun-Ling
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 979–996
Article | 01-December-2016
The place and performance of wireless sensor networks are rapidly improving in the automotive industry, industrial and environmental monitoring. Uptake of this technology can be used in urban rail vehicle management system. Due to the difficult and time-consuming maintenance of vehicle management, a remote automatic monitoring system is needed. In this paper, it is proposed to design, develop and implement a remote automatic vehicle monitoring system. The complete system architecture includes a
WU Minghu,
CHEN Rui,
YANG Jie,
JIAO Liangbao
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 4, 1822–1839
Research Article | 15-February-2020
Underwater Wireless Sensor Networks (UWSN) share the common challenges of terrestrial Wireless Sensor Network (WSN), however they are significantly different from terrestrial WSN. Mainly, because acoustic wireless communication is the main physical layer technology in UWSN. Acoustic communication offers longer range, but has limitations due to low speed of sound, high error probability, limited bandwidth capacity, node mobility and 3-dimensional network architecture. Most of the ground based
Beenish Ayaz,
Alastair Allen,
Marian Wiercigroch
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–5
research-article | 30-November-2018
The technology of wireless sensor networks (WSNs) is in the front part of the investigation of the computer networks and it could be the next technologic market of a huge sum of money. A WSN contains hundreds to thousands of small sensors where these sensors are designed to be self-organized wireless networks. A sensor node is usually a node for sensing, a router node is a node for relaying data, and a base station node is a node for exchanging data with other networks, also known as sink node
Qasem Abu Al-Haija,
Ibrahim Marouf,
Mohammad M. Asad,
Kamal Al Nasr
International Journal on Smart Sensing and Intelligent Systems
, Volume 12 , ISSUE 1, 1–9
Research Article | 01-December-2017
The advanced monitoring and control applications consider Wireless Sensor Networks (WSN) as a promising technology for modern applications like the Internet of Things (IoT), Smart Grid and Wireless Body Area Networks (WBAN). The WSN has important features like less cost, low power usage, supportable data rates and complexity. There is a need for continuous research on improving characteristics and abilities of WSN. The reliable performance of WSN depends on the latency necessities depending on
Vikram K,
Sarat Kumar Sahoo
International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 4, 879–902
research-article | 18-April-2020
using satellite systems. Base station collects the information sent by the satellite and runs an algorithm to recognize the facts (Basu et al., 2018). The raw data of satellites are processed and then Advanced Very High Resolution Radiometer instrument is utilized to recognize hotspots. In South Korea, forest fire surveillance system was proposed by using wireless sensor networks. Wireless sensor networks detect humidity and an application analyses the collected information (Hariyanwal et al., 2013
Premsai Dasari,
Gundam Krishna Jayanth Reddy,
Abhishek Gudipalli
International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–8
Research Article | 03-September-2018
Jorge Gomez-Rojas,
Luis Camargo,
Ruben Montero
International Journal on Smart Sensing and Intelligent Systems, Volume 11 , ISSUE 1, 1–8
Research Article | 15-February-2020
Vinod Parameswaran,
Zhongwei Zhang,
Hong Zhou
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–5
Article | 30-June-2013
monitored targets. This paper proposes a novel duty cycling design for target monitoring sensor networks, which includes two algorithms - sleep scheduling algorithm and gradient query algorithm based on sleep periods. In the proposed design, most of sensor nodes are sleeping, while still keep the functions of target monitoring and information query in the sensor networks. The performance of our design has been evaluated through both theoretical analysis and simulations, which prove the functionality of
Ying Guo,
Feng Hong,
Zhongwen Guo
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 3, 1054–1076
Article | 16-December-2013
This paper aims to propose a framework for optimizing performance in cluster-based wireless sensor networks (WSNs) with constrains of energy consumption, delay and connectivity. For the limitation of energy storage being discussed a lot, many researches try to find more solutions to improve it. But, the other index of wireless sensor networks may be deteriorated by many routings which are dedicated to optimizing energy consumption. Thereby, multi-objectives optimization is one of significant
Ting CAO,
Yuhao WANG,
Xinmin XIONG,
Yan HAO
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 5, 2103–2118
Research Article | 01-December-2017
Sho Kimura,
Toshihiko Sasama,
Takao Kawamura,
Kazunori Sugahara
International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 4, 920–934
Research Article | 15-February-2020
Gergely Zachár,
Gyula Simon,
Miklós Maróti
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–6
Article | 01-December-2014
HUANG Zhiwei,
ZHENG Zimu,
LI Zhicheng,
PENG Xinyi
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 4, 1663–1682
Article | 01-June-2016
Y. K. Benkouider,
M. Keche
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 1054–1072
Research Article | 20-February-2013
Yan Yu,
Hang Liu,
Dongsheng Li,
Xingquan Mao,
Jinping Ou
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 38–57
Article | 01-June-2016
With the development of the times, in the wireless sensor networks, the increasing amount of information transmission requires more advanced transmission protocols. Especially accompanied by the arrival of the era of Big Data, the conflicts between traditional transport agreement and the sudden or large amount of data are increasingly prominent. The discrete time three-dimensional probability CSMA protocol with multichannel mechanism proposed solves these problems pretty well. By the new MAC
Yifan Zhao,
Shengjie Zhou,
Hongwei Ding,
Zhijun Yang,
Qianlin Liu
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 845–863
Research Article | 15-February-2020
The need for technology to assist in medical monitoring applications is becoming more necessary in society as the number of patients in hospital and clinics continues to grow. The demand on staff to monitor every individual consistently becomes necessary. Wireless sensor networks (WSN) are now being used to facilitate this on-demand monitoring both at the patients home and in the hospital/clinic environment. This paper looks at the basic parameters necessary for a medical based WSN with
Avijit Mathur,
Thomas Newe
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–6
Article | 01-December-2016
; and if the probability is less than limits, tile deployment does not need to increase the node to ensure coverage. The research results of this paper provide an important reference for the deployment of the directional sensor networks with the given parameters.
Lei Yutong,
Wen jian,
Zhao Xuan,
Li Jianyu,
Zhang Junguo
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 4, 2032–2050
research-article | 30-November-2019
Mohammad M. Abdellatif,
Salma M. Maher,
Ghazal M. Al-sayyad,
Sameh O. Abdellatif
International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–11
Research Article | 02-November-2017
Juo-Yu Lee,
Kung Yao
International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 4, 842–857
Article | 01-March-2015
Wireless sensor networks (WSN) have limited lifetime due to on board battery. The lifetime can be improved by energy harvesting solutions. In this paper the solar energy harvester requirements for TelosB mote has been analyzed and calculated. Photovoltaic (PV) panel and battery sizing requirements are calculated by assuming that the mote follows SMAC and TDMA-MAC schedule for image communication. The calculations are validated by comparing it with the parameters calculated from the real time
R. Hemalatha,
R. Ramaprabha,
S. Radha
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 1, 291–315
Research Article | 20-February-2013
In this paper we suggest a simple, practical and cost effective localization scheme that can be used to manually deploy wireless sensors to form wireless sensor networks (WSNs). We test our scheme exclusively in outdoor environments using commercially available IRIS XM2110 sensor motes. The location discovery of sensor motes deployed in outdoor environments is obtained in accordance with geographical latitude and longitude. The distance between the deployed sensor motes is also computed using
Tarun Dubey,
O.P. Sahu
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 368–382
Research Article | 10-April-2013
In recent years, wireless sensor network (WSN) is a rapidly evolving technological platform with tremendous and novel applications. Many routing protocols have been specially designed for WSN because the sensor nodes are typically battery-power. To prolong the network lifetime, power management and energy-efficient routing techniques become necessary. In large scale wireless sensor networks, hierarchical routing has the advantage of providing scalable and resource efficient solutions. To find
Xiangyuan Yin,
Zhihao Ling,
Liping Guan
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 2, 523–547
Research paper | 13-December-2017
Cesare Alippi,
Cristian Galperti
International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 3, 592–612
Article | 01-June-2016
Mehrdad Aliasgari,
Garrett Chan,
Mohammad Mozumdar
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 598–615
Article | 05-September-2013
According to EGTS proposal, an adaptive channel hopping algorithm that can be used in wireless mesh sensor networks was is designed in this paper. The nodes select proper channels independently and use them to communicate with their neighbors. Once a pair of nodes find their current channel has been deteriorated, they abandoned the current channel and enable the reserved channel, so that the reliability of the network is improved. The algorithm is compatible with the primitives and the frame
Zhao Jindong,
Fan Baode,
Lu Yunhong,
Mu Chunxiao
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 4, –
Article | 01-March-2016
For the wireless sensor networks (WSNs), MAC layer protocol, relating to system throughput, involving functions of system, concerning the consumption of system energy efficiency, etc. other system indicators, is very important. With the development of WSN, involving vary businesses, the amount and style of data which the sensor nodes detecting is large and divertive. Based on three-dimensional probability CSMA protocol, the proposed protocol, multi-channel three-dimensional probability CSMA
Yifan Zhao
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 1, 334–352
Research Article | 01-September-2017
Fixed-power wireless sensor networks are prevalent and cost-effective. However, they face mote failures, RF interference from environmental noise and energy constraints. Routing protocols for such networks must overcome these problems to achieve reliability, energy efficiency and scalability in message delivery. Achievement of these requirements, however, poses conflicting demands. In this work, we propose an efficient and reliable routing protocol (EAR) that achieves reliable and scalable
B. Sathyasri,
Dr.E. N.Ganesh,
Dr. P. Senthil Kumar,
S. Rathna,
R. Jaishree Bai,
G. Nalini
International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 5, 358–373
research-article | 30-November-2020
EL IDRISSI Nezha,
Najid Abdellah,
El Alami Hassan
International Journal on Smart Sensing and Intelligent Systems, Volume 14 , ISSUE 1, 1–15
Article | 01-December-2016
ZHANG Ju-Wei,
WANG Yu,
Wang Ya-le
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 4, 2149–2166
Article | 01-December-2015
With the application of wireless sensor networks become widespread, supply energy for these wireless sensors proves to be a significant issue. Moreover, for the ambient vibration lies everywhere, the vibration can supply energy for the wireless sensor via energy harvester. The piezoelectric energy harvester becomes the research focus for the simple structure and higher energy conversion efficiency. Due to the transcendental equation in distributed parameter model, the numerical method is become
Yao Fenglin,
Meng Wengjun,
Zhao Jie,
Yin Hang
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 4, 2018–2041
Article | 02-November-2017
Prasanna Sridhar,
Asad M. Madni
International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 1, 1–14
Research Article | 01-September-2017
Ching-Ju Chen,
Jou-An Chen,
Yueh-Min Huang
International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 3, 696–717
Research Article | 01-September-2017
Wireless Sensor Network (WSN) consists of three main components: nodes, gateways, and software. The spatially distributed measurement nodes interface with sensors to monitor assets or their environment. In a WSN network the devices are connected to WSN nodes wherein the entire nodes uses Zigbee network to transfer the status of connected applications to a controller which controls the whole applications but the main drawback of Wireless sensor networks is its high interference, low coverage
M.Anto Bennet,
B Thamilvalluvan,
C.A. Hema Priya,
B. Bhavani,
M. Shalini
International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 5, 69–86
Article | 17-January-2018
There has been growing interest in the application of Wireless Sensor Networks (WSN) in the field of disaster prevention. In such applications, sensor nodes are randomly deployed in an area of interest, a large number of exactly same wireless sensor nodes form a robust mesh network to prevent damages in case of a disaster. In many applications, however, deploying sophisticated sensors on every sensor nodes is unnecessary and very costly. For example, in case of Earthquake one seismographic
Md. Abdullah-al MAMUN,
Yuji koi,
Naoshi Nakaya,
Goutam Chakraborty
International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 2, 309–328
Article | 01-June-2015
Josie Hughes,
Jize Yan,
Kenichi Soga
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 1379–1405
Research Article | 01-September-2017
Wireless sensor networks (WSN) are being used for huge range of applications where the traditional infrastructure based network is mostly infeasible. The most challenging aspect of WSN is that they are energy resource-constrained and that energy cannot be replenish. the wireless sensor network of power limited sensing devices called sensor deployed in a region to sense various types physical information from the environment, when these sensors sense and transmit data to other sensors present in
G Vijayalakshmi,
M.Anto Bennet,
P. Shenbagavalli,
M. Vijayalakshmi,
S. Saranya
International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 5, 395–413
Research Article | 20-February-2013
Sangeeta Mittal,
Krishna Gopal,
S.L. Maskara
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 403–432