A review on swarm intelligence based routing algorithms in mobile adhoc network

A mobile ad hoc network (MANET) is dynamic self-healing and self-forming infrastructure less network consisting of a collection of autonomous nodes that communicate independently on wireless network with each other. With wide area of implementation including military, commercial and education use, MANET also has some shortfalls like frequent topology changes, bandwidth limitation and energy utilization. Because of these shortfalls, many researchers have proposed swarm intelligence based protocols which are more intelligent, robust and adaptive. These routing protocols are inspired from the behavior of natural systems like ant colonies (ACO), bee colonies (BCO), termites, fish schools and many more. These protocols are intelligent enough to adapt better routing than traditional MANET routing protocols. In this paper, we analyze and study about these swarm intelligences based routing protocols and compare them on various measures.