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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.

A Deployment Algorithm of Heterogeneous Underwater Sensor Network Based on Acoustic and Magnetic Joint Sensing Model