A Secured and Scalable Battle-Field Surveillance using WSN Multicasting

Abstract

Real-time Battle-field surveillance using Wireless Sensor Network (WSN) is a challenging task. It demands periodic sensing, run-time decision making, and fast signal processing and high data precision. WSN for battle-field monitoring is a collection of in-expensive sensor devices capable of sensing sound and signals generated by objects. An Efficient utilization of limited resources is need of the hour in these applications. Sensor nodes must be highly dynamic in sensing and sending accurate data securely to the control centre. In this paper, The authors propose a secured and scalable mechanism to sense war field and report any intruder movement with accuracy. The Proposed approach performs better in terms of network lifetime, security and accuracy.