Ant colony optimization routing in mobile adhoc networks — A survey paper

Abstract

This survey paper basically going to represent AODV algorithm to examined or explained ant colony optimization (ACO) in mobile AdHoc networks (MANETs). Here, in network routing we widely used two optimization techniques i.e. ACO and a swarm intelligence based optimization techniques. On-demand routing protocol is very highly potential, adaptive and scalable. These ant colony optimization and swarm intelligence based techniques will use to design the result of swarm ability to engineering and mathematical errors. These types of networks are soft or flexible, these networks will not require any kind of existing central administration or infrastructure or base. Therefore, mobile ad-hoc networks are those type of network which is consist completely of infrastructure less nodes, which is work concurrently in an AdHoc way (i.e., in an air and on fly) and also suitable or appropriate for temporary communication links. The major aim in the designing of these protocols was to decrease the overhead for routing. Mobile ad-hoc networks are a set of mobile nodes which always communicate in the air or fly over radio waves.