An Efficient and cost effective maximum clique analysis based approximation in military application of Wireless Sensor Network

Abstract

Military Applications of Wireless Sensor Network in domains of maximizing security and gaining maximum benefits from attacking the opponent is a challenging and prominent area of research now-a days. A commander's goal in a battle field is not limited by securing his troops and the country but also to deliver proper commands to assault the enemies using the minimum number of resources. In this paper we propose, for the first time, an efficient and low cost app roximation algorithm using the maximum clique analysis that finds the strategy of maximizing the destruction, in a battlefield, to defeat the opponents with minimum resources. Experimental results show the effectiveness of the proposed algorithm in the prescribed areas of applications and the impacts of diff erent parameters used on its performance measures.

Optimization Strategy of Wireless Charger Node Deployment Based on Improved Cuckoo Search Algorithm

“…Wireless Sensor Network (WSN) is a multi-hop selforganizing network system formed by wireless communication. The sensor node cooperatively senses, collects, and processes information of the perceived object in the network coverage area and sends it to the observer [1,2].Wireless sensor networks are widely used in many important fields such as forest fire detection, animal tracking, military area monitoring, early earthquake detection, and border monitoring due to their low cost, low power consumption and multi-function [3,4,5,6,7].But as the size of the network increases, it becomes increasingly difficult and unrealistic to periodically replace batteries for all nodes, and limited battery energy will eventually lead to limited network life. In order to solve the problem of limited life in wireless sensor networks, many scholars at home and abroad have conducted a lot of research, and the solutions can be divided into three categories: node energy saving, natural energy collection and wireless charging.…”

Optimization Strategy of Wireless Charger Node Deployment Based on Improved Cuckoo Search Algorithm

“…The sensor node cooperatively senses, collects, and processes information of the perceived object in the network coverage area and sends it to the observer [1,2]. Wireless sensor networks are widely used in many important fields such as forest fire detection, animal tracking, military area monitoring, early earthquake detection, and border monitoring due to their low cost, low power consumption and multi-function [3,4,5,6,7]. But as the size of the network increases, it becomes increasingly difficult and unrealistic to periodically replace batteries for all nodes, and limited battery energy will eventually lead to limited network life.…”