Enhancing the Security and Energy Efficiency by Integrating Grid Based Adversarial Clustering and Ant Colony Optimization (ACO) in Wireless Sensor Networks

Abstract

            Wireless sensor networks (WSNs) are enriched with dispersed unit of sensor nodes with the capability to sense, precede and transmit. The methodology has been widely utilized in diverse fields like science, engineering, military, and health.  The remote locations are efficiently monitored at low cost. The sensor nodes are answerable for four things like aggregation, transmitting and collecting the information, and information processing. The four tasks can be effectively executed by utilizing the memory, CPU, energy to enhance the network’s lifetime and productivity. Since the nodes are dispersed and operated in remote areas, the unit is susceptible to frequent security attacks which may degrade the performance of the system. The difficulty becomes crucial when the unit is installed for military purposes. The security has become one of the challenges to wireless sensor networks. The first thing is the ordinary core segments are identified and protective walls are drawn throughout the centers of the ordinary segments by adversarial clustering algorithm. The approach employs game theoretic concepts. This characterizes the sub clusters of the assault segments, intersecting regions among the clusters and outliers that is said to be probable abnormalities. In addition to this, energy consumption has turned to be another dispute in wireless sensor networks. The energy efficiency as well as routing can be enhanced by Ant Colony Optimization (ACO) and the security issue can be resolved by grid based adversarial clustering method. The facilities of WSN can be broadened by Ant colony optimization approach. ACO is explorative and it is applicable for dispersed and vibrant conditions. The ACO helps to determine the optimal routes from one end to another end. The calculation of optimal path helps to improvise the energy efficiency of the network. This integrated approach offers energy efficiency and security to the network.