Optimization Technique For Multi-Target Tracking In Controlled Mobility Sensor Networks
Target tracking is one of the applications of Mobile Sensor Networks. Mobility management is the important
parameter that affects the performance and lifetime of the Mobile sensor networks. So we need to manage the mobility in a
controlled manner. Existing methods attempt to achieve these requirements for controlled mobility single target tracking
only. In this paper, we propose a Multi-Target Tracking method using Ant Colony Optimization to satisfy these requirements.
In this proposed method, targets current position values are estimated at every time step. Then, predicting the next position
value of each target by using the previous time-step estimated values. Interval Analysis is used for estimation and prediction
of position values. Then the proposed method consists of moving the mobile node in an optimal way tocover Multi-Target.
The optimal path is been chosen by Ant Colony Optimization technique. Simulations results shows the advantages of the
proposed method compared to single target tracking methods