Target Tracking in Wireless Sensor Network Using Fuzzy Logic

With the development of technology design of electrical circuits, low size and cost electronic component is provided. This development is the reason of emerging wireless sensor network and its daily advances during last decade. Wireless sensor network consists of hundreds or thousands tiny nodes called sensor nodes with are connected to each other and work together in order to do some special tasks. Target tracking is one of the important issues with is considered in to account in last few years. There are many researches and various algorithms have been proposed. Among these algorithms, the approaches that predict target location in next time interval using special techniques are more efficient. By prediction of next target location, the number of involved nodes in tracking is reduced and consequently energy consumption will significantly reduce. We in this paper propose a prediction method based on two fuzzy systems that a few nodes are activated in order to tracking the target and others are in sleep mode. According to simulation results, the proposed method in addition to increase accuracy in tracking the target, can satisfactory decrease energy consumption compared to the previous methods.