Abstract
Target tracking is considered as one of the cardinal applications of a wireless sensor network. Tracking multiple targets is more challenging than tracking a single target in a wireless sensor network due to targets’ movement in different directions, targets’ speed variations and frequent connectivity failures of low powered sensor nodes. If all the low-powered sensor nodes are kept active in tracking multiple targets coming from different directions of the network, there is high probability of network failure due to wastage of power. It would be more realistic if the tracking area can be reduced so that less number of sensor nodes will be active and therefore, the network will consume less energy. Tracking area can be reduced by using the target’s kinematics. There is almost no method to track multiple targets based on targets’ kinematics. In our paper, we propose a distributed tracking method for tracking multiple targets considering targets’ kinematics. We simulate our method by a sensor network simulator OMNeT++ and empirical results state that our proposed methodology outperforms traditional tracking algorithms.
Highlights
Now-a-days, from military applications, the use of sensor networks has extended to many civilian, industrial and environmental applications [1,2]
Tracking multiple targets is more challenging than tracking a single target in a wireless sensor network due to targets’ movement in different directions, targets’ speed variations and frequent connectivity failures of low powered sensor nodes
A popular method to optimize energy consumption in target tracking is the minimization of tracking area; the region which is reachable by a target from its current position with a certain speed
Summary
Now-a-days, from military applications (battlefield surveillance and intelligence data acquisition), the use of sensor networks has extended to many civilian, industrial and environmental applications [1,2]. Among the diversified applications of sensor networks, target detection is one of the most important applications In this context, the primary tasks of a sensor network are targets ‘identification and classification, data acquisition, targets’ tracking or localizing and data transmission over multi-hop networks [3]. A popular method to optimize energy consumption in target tracking is the minimization of tracking area; the region which is reachable by a target from its current position with a certain speed. Previous works such as [4,5] employ this approach to track targets efficiently. We propose a novel, distributed, energy efficient multiple targets tracking method which includes target classification, data acquisition and transmission
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