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Scopus Indexed Publications

Title: A new cost-effective approach for battlefield surveillance in wireless sensor networks

Abstract: Assuring security (in the form of attacking mode as well as in safeguard mode) and at the same time keeping strong eye on the opposition's status (position, quantity, availability) is the key responsibility of a commander in the battlefield. Battlefield surveillance is one of the strong applications of Wireless Sensor Networks (WSNs). A commander is not only liable to his above responsibilities, but also to manage his duties in an efficient way. For this reason, ensuring maximum destruction with minimum resources is a major concern of a commander in the battlefield. This paper focuses on the maximum destruction problem in military affairs. In the work of Jaigirdar and Islam (2012), the authors proposed two novel algorithms (Maximum degree analysis and Maximum clique analysis) that ensure the efficiency and cost-effectiveness of the above problem. A comparative study explaining the number of resources required for commencing required level of destruction made to the opponents has been provided in the paper. In this paper the authors have come forward with another algorithm for the same problem. With the simulation studies and comparative analysis of the same example set the authors in this paper demonstrate the effectiveness (in both the quality and quantity) of the new method to be best among the three.

Keywords: wireless sensor network , military application , intersection point algorithm , maximum destruction , minimum resource , battlefield monitoring

Journal or Conference Name: 2016 International Conference on Networking Systems and Security (NSysS)