DocumentCode
3515217
Title
Energy-efficient scheduling scheme using reinforcement learning in wireless ad hoc networks
Author
Bourenane, Malika
Author_Institution
Comput. Sci. Dept., Univ. of Es-Senia, Oran, Algeria
fYear
2011
fDate
24-26 May 2011
Firstpage
1
Lastpage
5
Abstract
In this paper we propose a scheduling scheme in wireless networks based on energy-efficient retransmission strategy. In our approach, the scheduling algorithm traits specially the neighboring nodes of source which get involved in the retransmission, in order to reduce the consumed energy. We use the Markov Decision Process frameworks to model this problem.
Keywords
Markov processes; decision theory; learning (artificial intelligence); mobile ad hoc networks; scheduling; telecommunication computing; MANET; Markov decision process frameworks; energy-efficient retransmission strategy; energy-efficient scheduling scheme; mobile ad hoc network; neighboring nodes; reinforcement learning; wireless ad hoc networks; QoS; Scheduling; distributed value function method; mobile ad hoc networks; reinforcement learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless and Optical Communications Networks (WOCN), 2011 Eighth International Conference on
Conference_Location
Paris
ISSN
Pending
Print_ISBN
978-1-4577-0262-4
Type
conf
DOI
10.1109/WOCN.2011.5872939
Filename
5872939
Link To Document