Computational Intelligence Techniques for Wireless Sensor Network: Review

Abstract

Wireless sensors (nodes) in the network sense extract data from the various surrounding environment, sequence the sensed data locally, and then transfer the data to a base station for further processing through wireless communication. WSNs face various problem, communication failures, storage and computational constraints and limited power supply. The main challenge occur in WSN to save energy and prolong the network lifetime. Clustering is a technique that is used for managing energy consumption. However, clustering is NP hard optimization problem that can't be solved effectively by traditional methods. Different Computational Intelligence (CI) techniques are used to alter WSN dynamic nature.