Target Tracking Accuracy in Context of Energy Consumption in Wireless Sensor Network

Abstract

Target tracking using wireless sensor network (WSN) is an important constituent of application like surveillance. The energy is scarce and a very important resource in WSN and therefore, it forms the focal point of this proposal. The goals of the paper is; (1) Analyze the tracking accuracy for a target moving in WSN with multiple clusters; (2) Understanding type of relation between the energy consumption and tracking accuracy in WSN. In the posed experimental scenario, nodes are uniformly distributed in a cluster and they collaborate to track the target moving with a variable velocity. The distance between target and a nearest sensor node is measured and then sent to cluster head for estimating target location. Accuracies of target locations and tracking is calculated from these distance measurements. In this paper we examine effects of varying noise power on the tracking accuracy, effect of cluster size and node density on the target location accuracy. We also focus on energy consumption with respect to change in noise variance and node sensing range. We establish that increase in cluster size improves target tracking accuracy at the cost of increase in energy consumption. Target detection accuracy is dependent on cluster size, node distribution within cluster and also on accuracy of distance measurements.