Weighting for mobile ad hoc networks clustering based on K-hpso and its application in aircraft networks

Abstract EN

Efficient Cluster schemes play an important role in the self-organizing Ad Hoc wireless networks, so the performance of this structure needs to evaluate specially for distance sensitive.

In this paper, we present a distance we present a hybrid PSO approach that uses K-means algorithm to replace the refining stage in the PSO algorithm, weighted clustering algorithm (WCA), in ad hoc networks.

One of the measures taken for the HKP process will underestimate the number of clusters compared with other algorithms.

and also observed that the number of cluster head changes is less and the life time of the cluster head is more.

Analysis and simulation of the algorithm have been implemented and validity of the algorithm has been proved.