WCA: A Weighted Clustering Algorithm for Mobile Ad Hoc Networks
Cluster Computing
ICIT '08 Proceedings of the 2008 International Conference on Information Technology
A Survey on One-Hop Clustering Algorithms in Mobile Ad Hoc Networks
Journal of Network and Systems Management
A load balancing energy efficient clustering algorithm for MANETs
International Journal of Communication Systems
A load-balancing and energy-aware clustering algorithm in wireless ad-hoc networks
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
A survey of clustering schemes for mobile ad hoc networks
IEEE Communications Surveys & Tutorials
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
Hi-index | 0.00 |
Energy efficiency is a significant area of research in mobile ad hoc networks. The mobile nodes are uncertain and may lead to failure of nodes. The uncertainty of mobile nodes is mainly due to their mobility, draining of battery power and energy consumption. One way of handling this uncertainty is to prevent nodes from failure through the Load Balancing Factor (LBF). This can be achieved by the clustering technique which increases throughput and reduces delay. In this paper, load balancing among clusters is proposed for the AHP-Entropy-TOPSIS based Clustering Protocol (AETCP) to handle uncertain mobile nodes. The AETCP is based on a multicriterion decision-making method which was proposed earlier. The AETCP is the integration of the Analytic Hierarchy Process, Entropy and Technique for Order Preference by Similarity to an Ideal Solution. The predefined energy threshold is applied to the mobile nodes to take part in cluster-head nodes' election using the AETCP. Simulations were carried out by applying the LBF and the predefined energy threshold to the AETCP, and better results achieved in terms of the average cluster size, reaffiliation rate, energy, load balancing factor, throughput and delay.