Abstract

This article will primarily use the AODV algorithm to investigate and clarify the concept of ant colony optimisation (ACO) as it applies to mobile Ad hoc Networks (MANETs). Here, we applied two optimisation methods, ACO and one based on swarm intelligence, extensively in network routeing. The potential, adaptability, and scalability of an on-demand routeing protocol are quite high. Swarm intelligence and ant colony optimisation methods will be used to engineering and mathematics mistakes in the final product. These networks may adapt to changing circumstances and can function independently of any preexisting central administration or infrastructure. Therefore, mobile ad hoc networks are networks that are entirely devoid of fixed infrastructure, operate in an AdHoc fashion (i.e., on the move), and are designed to facilitate short-term communication connections. The primary motivation for the development of these protocols was the need to reduce routing-related overhead. The nodes in mobile ad-hoc networks are constantly on the go, communicating with one another through radio waves.

Description