DefinePK

Abstract

Underwater sensor network consists of a number of underwater sensor nodes, autonomous underwater vehicles (AUV) that are deployed to perform collaborative monitoring and resource exploration tasks over a given area. But submarine detection and tracking referred to as anti-submarine warfare (ASW) is one of the most important application. In ASW system port-starboard (Ps) ambiguity is the most challenging issues which cause severe performance degradation. In the Bayesian approach, the dynamic state estimation is used to construct the posterior probability density function (pdf) of the state based on all available information, including the set of received measurements. Since this pdf embodies all available statistical information, it contains the complete solution to the estimation problem, and the optimal estimate of the state may be obtained from the posterior .the data from the sensors are not identically distributed as each sensor has its own location/ orientation with respect to the target, which can be time varying, this characteristics a key feature to solve the Ps ambiguity. The contribution of the proposed work in three fold by using game theory. First, Efficient target tracking with security enhancement. Second, prolong the life time of wireless sensor network by reducing the power consumption. Third, Comparison of Kth parameter in Bayesian approach versus game theory.