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A Routing Method in Mobile Ad-Hoc Networks Using
Distributed Artificial Intelligence Technics
M. R. Hasani Ahangar
*
, D. Faridnia, M. Saleh Esfahani
Faculty of Information and Communication Technology, Imam Hossein University
(Received: 03/14/2011, Accepted: 02/22/2012)
Abstract
Nowadays, because of recent achievements in wireless technology and the need for pervasive usage of services,
wireless networks usage have been soared widely. In addition, Adhoc wireless networks are popular because of not
requiring central controller, adaptation to movements, and its high customizability. The important aspects of this
network are routing algorithm and establishing connection between source and destination. In this paper, we propose
a proactive routing algorithm for wireless adhoc networks based on swarm intelligence and reinforcement learning.
The proposed algorithm, decreases the packet delays in network, lowers the costs of receiving packets, and improves
performance of network as a whole. Functionality of this algorithm has been tested with NS simulator and the results
have been compared with DSR and AODV algorithms.
Keywords: Routing, Reinforcement Function, Swarm Intelligence, Mobile Ad-Hoc Networks.
*
Corresponding author E-mail: mrhasani@ihu.ac.ir Passive Defense Sci. & Tech. 2011, 4, 267-276
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