Please use this identifier to cite or link to this item:
|Title:||A MANET routing protocol using Q-learning method integrated with Bayesian network|
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Sep 15, 2018
checked on Sep 14, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.