AHP-Entropy-TOPSIS based Clustering Protocol for Mobile Ad Hoc Networks
R. Deepa and S. Swamynathan
Clustering is a significant area of research in mobile ad hoc networks, where mobile nodes are hierarchically organized into various clusters based on certain criteria. The clustering concept improves the performance of networks, such as throughput and delay in the presence of both mobility and nodes population. In this paper, mathematical model of the clustering protocol AETCP (AHP-Entropy-TOPSIS based Clustering Protocol) is proposed, using the MultiCriterion Decision-Making (MCDM) method. This method is the integration of the Analytic Hierarchy Process (AHP), entropy and the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). The integrated method is used to evaluate the subjective and objective weights of the mobile nodes, and then rank these sets of nodes with the aim of selecting the highest weighted nodes as appropriate cluster-head nodes. AETCP reduces average cluster size, reaffiliation rate, reelection rate and improves the cluster stability. Simulations were carried out, using the enhanced model of random waypoint mobility model, to show the efficiency of the AETCP, and compared it with other existing approaches.
Keywords: Mobile ad hoc networks, clustering, multicriterion decision-making, reaffiliation rate, reelection rate, load balancing, energy consumption, stability.