Optimization of clustering process in WSN with meta-heuristic techniques - a survey

In a wireless sensor network deployed in remote area, because of no rechargeable energy source available, the network lifetime is critically dependent on how efficiently the energy resources are used. Clustering is powerful technique to use energy efficiently. Meta-heuristic methods can be applied for clustering. In this paper, different meta-heuristic methods are analyzed such as PSO, ACO, GA, HS, SA, and its pros and cons are discussed. Also, how those cons are removed in further enhanced versions and combinations of these methods are described with its performance comparison.