Mobile Ad-Hoc Clustering Using Inclusive Particle Swarm Optimization Algorithm

Anurag Rana ； Deepali Sharma

《International Journal of Electronics and Information Engineering》 8卷1期 (2018/03) Pp. 1-8

https://doi.org/10.6636/IJEIE.201803.8(1).01

摘要

Mobile ad-hoc network consists of dynamic nodes that communicate with each without base station. In this paper, we propose an inclusive particles swarm optimization clustering algorithm for mobile ad hoc networks. It has ability to find the optimal or near optimal number of cluster to efficiently manage the resources of network. The cluster heads do the job of routing network packets within the cluster or to the node of other clusters. Proposed IPSOA clustering algorithm takes into consideration the transmission power, ideal degree, mobility of nodes and battery power consumption of the mobile nodes. Weighted clustering algorithm assign a weight to each of this parameter of network and each particle of swarm contain information about the cluster heads and the member of each cluster. We compare the results with Divided Range Particle Swarm Optimization Based Clustering (DRPSO) and result show that proposed technique is efficient and work efficiently than DRPSO.

關鍵字

Ad-Hoc Networks ； Clustering Cluster Head ； Inclusive Particle Swarm Optimization