Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICON.2013.6781944
Title: A Q-Learning-based Power-Controlled Routing protocol in multihop wireless ad hoc network
Authors: Wang, K.
Chai, T.Y.
Wong, W.-C. 
Issue Date: 2013
Source: Wang, K.,Chai, T.Y.,Wong, W.-C. (2013). A Q-Learning-based Power-Controlled Routing protocol in multihop wireless ad hoc network. IEEE International Conference on Networks, ICON : -. ScholarBank@NUS Repository. https://doi.org/10.1109/ICON.2013.6781944
Abstract: In wireless ad hoc networks, power control has great impact on routing since transmission range is directly determined by a node's transmission power. Higher power can give higher connectivity and shorter path. However, larger transmission range causes more interference to nearby neighbors and may further impair overall network performance. We propose a Q-Learning-based Power-Controlled Routing (QLPCR) protocol which makes use of Q learning techniques for routing and power control to optimize delay performance of the whole network. A Markov chain CSMA/CA delay model is used to estimate delay of each link in order to determine the optimal power level for all possible routing options. © 2013 IEEE.
Source Title: IEEE International Conference on Networks, ICON
URI: http://scholarbank.nus.edu.sg/handle/10635/83412
ISBN: 9781479920846
ISSN: 15566463
DOI: 10.1109/ICON.2013.6781944
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