A Meta-heuristic Based Clustering Mechanism for Wireless Sensor Networks

Wireless Sensor Networks are usually the application specific networks that consists of nodes which gathers some data from its surrounding environment continuously or intermittently based on user specifications. In practical use case scenarios, WSNs will consist of densely populated sensor nodes where each node will have a greater number of neighboring nodes. Establishing direct communication with more neighboring nodes results high energy consumption because large transmission power is required. To overcome the most critical issue of poor network lifetime, efficient use of energy resources is required. The goal of the proposed study is to create an efficient cluster head selection model based on Ant Colony Optimization technique that helps to save energy and extend network lifetime by selecting cluster heads wisely.