A Fuzzy-Based System for Improving Node Security in MANET Clusters

Abstract

A Mobile Ad hoc Network (MANET) is a multi-hop wireless network in which the mobile nodes are dynamic in nature and has a limited bandwidth and minimum battery power. Due to this challenging environment the mobile nodes can be grouped into clusters to achieve better stability and scalability. Grouping the mobile nodes is called clustering, in which a leader node is elected to manage the entire network. In this paper, first we introduce various approaches for clustering focus on different performance metrics. Then, we show some clustering schemes such as Mobility-based clustering, Energy-efficient clustering, Connectivity-based clustering, Weighted-based clustering. Finally, we present a Fuzzy based approach for improving the security of cluster nodes in MANETs. From the simulation results, we found that by selecting nodes with high SC rate, the nodes are more secure and the system performance is improved.