Energy-efficient connected target coverage in multi-hop wireless sensor networks

Abstract

Wireless sensor networks (WSNs) employ numerous sensor nodes possessing sensing, processing, and wireless communication abilities to monitor a specified sensing field. As sensor nodes are mostly battery operated and are highly constrained regarding energy resources, it is essential to explore energy optimization methods to prolong WSN lifetime. Target tracking is a very conventional WSN application that demands both useful and coherent energy management. This paper proposes a distributed shortest path data collection algorithm for connected target coverage to maximize WSN lifetime pertaining to both static and mobile multi-hop WSNs. The performance is evaluated in TinyOS employing the TOSSIM simulator based on the parameters like percentage of alive nodes, load distribution of nodes, and network lifetime.