Abstract: The Now a days Tracking mobile target is an big problem in wireless sensor network. This work is about the diculties involved to track the target which emits the signal using the mobile sensor based on reception of signal. As the mobile target plan is unknown, time of arrival (TOA) measurements from the mobile sensor network is used by the mobile sensor controller. Mobile sensor controller collect TOA is obtained from both the mobile target and mobile sensor to direct mobile sensor to follow the target and also to estimate location. To estimate the location we used min max approach. System also proposes Ant colony optimization (ACO) to estimate location eciently and for managing sensor mobility aiming at improving the tracking of a single target. This enlightens the approximation of the position of the nodes to guess the location of the nodes. Once the entity is managed, mobile sensor nodes concentrate in that entity and the location of the mobile sensor and target jointly to improve the tracking accuracy. Systems provide a sequential algorithm and a joint weighted localization algorithm before controlling the mobile sensor movement to follow the target. For the navigation of mobile sensors improves eciency, the cubic law is applied. Target tracking can be seen as a sequential location estimation problem. Char- acteristically, the target is a signal emitter whose transmissions are received by a num- ber of distributed sensors for estimating the location. Main drawback of existing system is delay in time of arrival (TOA) measurement. To overcome the time delay and to improve the shortest path of the target, system proposes Ant Colony Optimization (ACO) approach to estimate tracking the location of target.
Keywords: Ant Colony Optimization, Target Tracking, Mobile Sensor Navigation, Min-Max Approach, Time of Arrival.
Title: Target Tracking and Mobile Sensor Navigation in Wireless Sensor Network Using Ant Colony Optimization
Author: Malu Reddi, Prof. Dhanashree Kulkarni
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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