Intelligent Routing Techniques for Mobile Ad hoc Networks using Swarm Intelligence

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CH. V. Raghavendran 1,* G. Naga Satish 1 P. Suresh Varma 1

1. Dept of Computer Science, Adikavi Nannaya University, Rajahmundry, India

* Corresponding author.


Received: 6 Jan. 2012 / Revised: 23 May 2012 / Accepted: 5 Aug. 2012 / Published: 8 Dec. 2012

Index Terms

Mobile Ad hoc Network, Swarm Intelligence, Ant Colony Optimization, Bee Hoc Optimization, Routing


A Mobile Ad hoc Network (MANET) is a collection of autonomous self-organized nodes. They use wireless medium for communication, thus two nodes can communicate directly if and only if they are within each other’s transmission radius in a multi-hop fashion. Many conventional routing algorithms have been proposed for MANETs. An emerging area that has recently captured much attention in network routing researches is Swarm Intelligence (SI). Besides conventional approaches, many new researches have proposed the adoption of Swarm Intelligence for MANET routing. Swarm Intelligence (SI) refers to complex behaviors that arise from very simple individual behaviors and interactions, which is often observed in nature, especially among social insects such as ants, bees, fishes etc. Although each individual has little intelligence and simply follows basic rules using local information obtained from the environment. Ants routing resembles basic mechanisms from distributed Swarm Intelligence (SI) in biological systems and turns out to become an interesting solution where routing is a problem. Ants based routing is gaining more popularity because of its adaptive and dynamic nature. A number of Swarm Intelligence (SI) based algorithms were proposed by researchers. In this paper, we study bio-inspired routing protocols for MANETs.

Cite This Paper

CH. V. Raghavendran, G. Naga Satish, P. Suresh Varma, "Intelligent Routing Techniques for Mobile Ad hoc Networks using Swarm Intelligence", International Journal of Intelligent Systems and Applications(IJISA), vol.5, no.1, pp.81-89, 2013.DOI:10.5815/ijisa.2013.01.08


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