MOPLJO-MANET: MULTI-OBJECTIVE PARAMETER LESS JAYA OPTIMIZATION FOR MOBILE AD HOC NETWORKS

Abstract

MANET (Mobile Ad hoc Network) is a self-contained network made up of mobile nodes that communicate without the use of a central controller. These nodes each function as a router, allowing packets to be delivered and received. In this research, routing and mobility issues have been examined. Since nodes can join or leave an ad hoc network at any time, it may be difficult to establish routing between any two nodes in an ad hoc network. This implies that a method that was perfect at one moment can suddenly become ineffective. In this research, a multi-objective parameter-less Jaya optimization is used to determine the best path between network nodes. The main contribution of this research work is to increase the PDR , throughput and minimize the delay of the network. In addition, the proposed technique was compared to current optimization techniques like Genetic Algorithm (GA) and Artificial Bee Colony (ABC), as well as well-known reactive protocols like DSR (Dynamic Source Routing) and AODV (Ad hoc On-Demand Distance Vector). The suggested solution surpasses others in terms of performance characteristics such as Packet Delivery Ratio (PDR) (92.72 %), Delay (0.01042 sec), and Throughput (89.74 %).