Abstract

The basic goal of this research was to provide a Clustering algorithm and service discovery system with load distribution for mobile ad hoc networks (CSLBMANET) to fulfil service requests from nodes. Clustering is an issue that has to be solved in Mobile Ad hoc Networks. The network is partitioned into several subnetworks by the clusters, each of which is made up of a different set of nodes and ordered hierarchically according to certain criteria. In this research, we find ways to boost crucial cluster metrics including packet delivery ratio and network lifetime. To do this, we provide a streamlined approach to clustering by using a mathematical model with many tiers from which to choose the cluster's leader. This model is then used to boost the cluster's efficiency. As part of the self-organized clustering strategy, we propose and implement an Optimised Cluster Head selection using Analytical Hierarchy Process and Particle Swarm Optimisation (OC-AHPPSO). Particle swarm optimisation (PSO) and the Analytical Hierarchy Process (AHP) were utilised specifically to create this method. Both of these techniques for optimising performance are commonplace and well-known

Description