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|Title:||A MANET routing protocol using Q-learning method integrated with Bayesian network||Authors:||Wang, K.
|Issue Date:||2012||Citation:||Wang, K.,Wong, W.-C.,Chai, T.Y. (2012). A MANET routing protocol using Q-learning method integrated with Bayesian network. 2012 IEEE International Conference on Communication Systems, ICCS 2012 : 270-274. ScholarBank@NUS Repository. https://doi.org/10.1109/ICCS.2012.6406152||Abstract:||Frequent changes in topology and link quality in mobile ad-hoc networks (MANETs) present challenging problems in achieving optimal performance. We propose a self-learning routing protocol based on Q-learning that makes use of Quality of Service (QoS) parameters such as Signal to Interference plus Noise Ratio (SINR), delay and throughput, to make routing decisions. At the same time, a Bayesian Network (BN) is implemented to estimate neighboring network congestion level to tune the Q-learning weights. Our protocol also sends out probing packets to detect and solve the routing-loop problem which is not addressed in most Q-learning-based routing proposals. The simulation results show that the proposed system demonstrates comparatively better performance in a dense heavy-loaded scenario. © 2012 IEEE.||Source Title:||2012 IEEE International Conference on Communication Systems, ICCS 2012||URI:||http://scholarbank.nus.edu.sg/handle/10635/83368||ISBN:||9781467320542||DOI:||10.1109/ICCS.2012.6406152|
|Appears in Collections:||Staff Publications|
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