Improving the Quality of CGSR Routing Protocol by Electing Suitable Cluster-Head Using Fuzzy Logic System in MANET

A mobile ad-hoc network (MANET) is composed of mobile nodes that are dynamically reconfigurable, self organized and which provide on-demand networking solution. The goal of MANETs is to extend mobility into the realm of mobile, autonomous and wireless domains, where a group of nodes form the network routing infrastructure in an ad-hoc fashion. The nodes in the mobile ad hoc networks act as host and router, the routing protocol is the primary issue and has to be supported before any applications can be deployed for mobile ad-hoc networks. Recently, many research protocols are proposed for finding an efficient route between the nodes. The CGSR uses a hierarchical network topology unlike other table-driven routing approaches that employ flat topologies. CGSR protocol divide the network into several small areas called clusters and the members of each cluster entrusted to a special node called cluster-head. We propose a fuzzy logic system by which we select a suitable cluster-head to improve the quality of CGSR protocol. Selecting an appropriate cluster-head can save the power of overall network because the cluster-head node consumes more power than other ordinary nodes. In this paper we use fuzzy logic approach to choose the cluster-head based on the three parameters: distance of a node to the cluster centroid, energy of the node and node movement. These three parameters are the input of fuzzy logic system and it provides an output cluster-head chance, and the node with the highest chance is elected as the cluster-head.

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