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Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 9, Issue 4, Pages 2,149-2,166, DOI: https://doi.org/10.21307/ijssis-2017-957
License : (CC BY-NC-ND 4.0)
Received Date : 16-July-2015 / Accepted: 24-January-2016 / Published Online: 01-December-2016
In underwater target detection, because the acoustic environment of the shallow sea is
extremely complex, the acoustic detection is becoming more and more difficult. A deployment
algorithm of heterogeneous sensor network based on joint probabilistic sensing model is proposed
which combine the acoustic detection and magnetic detection to detect underwater targets. Expert
system knowledge is used to achieve the deployment of acoustic magnetic underwater sensor network
which base on the normal working area of submarine and the frequency of target within system work a
certain time. The simulation results show that the algorithm can guarantee higher detection
probability, and reduce the energy consumption of network and prolong network lifetime.
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