Improving Clustering Techniques in Wireless Sensor Networks Using Thinning Process
The authors propose a rapid cluster formation algorithm using a thinning technique : rC-MHP(rapid Clustering inspired from Matern Hard-Core Process). In order to prove its performance, it is compared with a well known cluster formation heuristic: Max-Min. Experimental results show that rC-MHP outperforms Max-Min in terms of messages needed to choose the cluster head, cluster head maintenance and memory requirement, comprehensively in sparse as well as in dense networks. They show that rC-MHP has a scalable behavior and it is very easy to implement. rC-MHP can be used as an efficient clustering technique.