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Title: Reinforcement Learning Based Routing Protocols Analysis for Mobile Ad-Hoc Networks
Authors: Mili, Redha 
Chikhi, Salim 
Affiliations: Faculty of Information and Communication Technology (ICT) 
Faculty of Information and Communication Technology (ICT) 
Keywords: Reinforcement learning;Ad-hoc Network;Q-Learning;Energy AODV;MANETs
Date: 10-May-2019
Publisher: Springer, Cham
Related Publication(s): Machine Learning for Networking
Start page: 247
End page: 256
Conference: International Conference on Machine Learning for Networking 
Energy consumption and maximize lifetime routing in Mobile Ad hoc Network (MANETs) is one of the most important issues. In our paper, we compare a global routing approach with a local routing approach both using reinforcement learning to maximize lifetime routing. We first propose a global routing algorithm based on reinforcement learning algorithm called Q-learning then we compare his results with a local routing algorithm called AODV-SARSA. Average delivery ratio, End to end delay and Time to Half Energy Depletion are used like metrics to compare both approach.
ISBN: 9783030199456
Appears in Collections:Conference Paper

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