Energy Efficient Cluster based Multipath Routing Protocol in MANET using Genetic Particle Swarm Optimization Algorithm
Keywords:
Genetic Particle Swarm Optimization Algorithm, Multipath routing, MANET, Quality of ServiceAbstract
A group of independent mobile nodes that function as an ad hoc network without the need for an infrastructure is known as a mobile ad hoc network (MANET). The MANET's dynamic topology trait has the potential to reduce system performance. Multipath selection, therefore, is a very difficult operation to increase network lifetime. Multipath routing has been used into MANETs recently to enable reliable and scalable data transfer. Multipath routing has been established by MANET to support trustworthy and scalable data transfer. In order to overcome the limitations of slow convergence and premature resolution of Quality of Service multicast routing problems in the existing genetic algorithms, this paper combines the particle swarm optimization algorithm (PSO) and genetic algorithm (GA) and proposes a genetic particle swarm optimization algorithm (GPSO) based on the improved particle swarm optimization algorithm as the mainline (GA). In this study, sensor nodes are clustered using the Genetic Particle Swarm Optimization Algorithm to create a multipath routing protocol that is QoS aware. Despite the existence of numerous multipath routing systems, only a small number of them have focused on Quality of Service (QoS) based routing. By reducing and balancing energy usage, clustering is a tried-and-true approach of extending the life of a network. The protocol that has been proposed is uses the Cluster Heads to find numerous reliable multi-hop communication pathways to deliver data. The MATLAB simulator is used to test the performance of the suggested protocol in various scenarios. The parameters End-to-End Delay, Bit Error Rate, Packet Delivery Ratio, Network Lifetime, Packet Loss Ratio, Throughput, and Energy Consumption are utilised to assess the performance of the suggested technique.
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