Target Tracking with Efficient Sensors Scheduling Scheme over Fading� Channel for WSNs

An efficient sensor scheduling is proposed� which is an interesting issue by applying wireless sensor� network (WSN) for addressing to track a mobile target� under fading channel is proposed in this report, The� proposed efficient and simple algorithm is mainly for� assisting mobile sensors management that is deployed in� tracking a considerable moving target. The presented� novel method leads to minimize comparison number of� sensor sequences and to reduce executive time for� unconstrained optimization. Moreover, the simulation� results show that it is in reduction of memory utilization,� energy consumption and computational cost as well. The� famous Kalman Filter technique was applied to estimate� posteriori state of the target in order to minimize mean� square error (MSE) value in prediction step. In addition,� the propagation channel is assumed as additive white� Gaussian noise (AWGN) and Nakagami-m models for� significant the contribution. Numerical example reveals� that the developed algorithm can obtain a much better� performance after consider the scheduling for tracking a� target, and it worth to note that by an designed� implementation the way of target tracking in WSN can� be approached easily.