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Adaptive scheduling in mobile ad hoc networks using reinforcement learning approach

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1 Author(s)
Bourenane, M. ; Comput. Sci. Dept., Univ. of Es-Senia, Oran, Algeria

This paper presents an adaptive scheduling scheme for quality of service (QoS) provisioning in wireless ad hoc networks. Our proposed scheme models the environment as a Markov Decision Process and uses a reinforcement learning technique that considers, in occurrence of collisions, maximizing the throughput and minimizing the average transmission energy in a wireless environment, by taking into account the channel conditions.

Published in:

Innovations in Information Technology (IIT), 2011 International Conference on

Date of Conference:

25-27 April 2011