Optimization of Clustering Process by Hybrid Meta-heuristic Techniques

Abstract

In wireless sensor network deployed in the remote area, because of no rechargeable energy source available, the network lifetime is critically depended on how efficiently we use energy resources. Clustering is the powerful technique to use energy efficiently. Meta- heuristic methods can be applied to do clustering efficiently. So different meta-heuristic methods are analyzed such as PSO, ACO, GA, HS, SA, and its pros and cons are dis- cussed. Also, how those cons are removed in further enhanced version of those methods are given and combinations of these methods are also described with its performance comparison.