Please use this identifier to cite or link to this item:
|Title:||A Q-Learning-based Power-Controlled Routing protocol in multihop wireless ad hoc network|
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Apr 20, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.