Computational Intelligence in Wireless Sensor Networks

Abstract

Wireless sensor networks (WSNs) are networks of distributed autonomous devices that can sense or monitor physical or environmental conditions cooperatively. WSNs face many challenges, mainly caused by communication failures, storage and computational constraints and limited power supply. Paradigms of Computational Intelligence (CI) have been successfully used in recent years to address various challenges such as optimal deployment, data aggregation and fusion, energy aware routing, task scheduling, security, and localization.

CI provides adaptive mechanisms that exhibit intelligent behaviour in complex and dynamic environments like WSNs. CI brings about flexibility, autonomous behaviour, and robustness against topology changes, communication failures and scenario changes. However, WSN developers can make use of potential CI algorithms to overcome the challenges in Wireless Sensor Network. The seminar includes some of the WSN challenges and their solutions using CI paradigms.