naa a22 4500 510797601 CHVBK 20180411083342.0 cr unu---uuuuu 180411e20130901xx s 000 0 eng 10.1007/s11277-013-1028-9 doi (NATIONALLICENCE)springer-10.1007/s11277-013-1028-9 Reinforcement Learning for Multiple Access Control in Wireless Sensor Networks: Review, Model, and Open Issues [Elektronische Daten] [Mohammad Fathi, Vafa Maihami, Parham Moradi] Wireless sensor networking is a viable communication technology among low-cost and energy-limited sensor nodes deployed in an environment. Due to high operational features, the application area of this technology is extended significantly but with some energy related challenges. One main cause of the nodes energy wasting in these networks is idle listening characterized with no communication activity. This drawback can be mitigated by the means of energy-efficient multiple access control schemes so as to minimize idle listening. In this paper, we discuss the applicability of distributed learning algorithms namely reinforcement learning towards multiple access control (MAC) in wireless sensor networks. We perform a comparative review of relevant work in the literature and then present a cooperative multi agent reinforcement learning framework for MAC design in wireless sensor networks. Accordingly, the paper concludes with some major challenges and open issues of distributed MAC design using reinforcement learning. Springer Science+Business Media New York, 2013 Multiple access control nationallicence Reinforcement learning nationallicence Scheduling nationallicence Wireless sensor networks nationallicence Optimization nationallicence Fathi Mohammad Department of Electrical and Computer Engineering, University of Kurdistan, Sanandaj, Iran aut Maihami Vafa Department of Electrical and Computer Engineering, University of Kurdistan, Sanandaj, Iran aut Moradi Parham Department of Electrical and Computer Engineering, University of Kurdistan, Sanandaj, Iran aut Wireless Personal Communications Springer US; http://www.springer-ny.com 72/1(2013-09-01), 535-547 0929-6212 72:1<535 2013 72 11277 https://doi.org/10.1007/s11277-013-1028-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-013-1028-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Fathi Mohammad Department of Electrical and Computer Engineering, University of Kurdistan, Sanandaj, Iran aut NATIONALLICENCE 700 1- Maihami Vafa Department of Electrical and Computer Engineering, University of Kurdistan, Sanandaj, Iran aut NATIONALLICENCE 700 1- Moradi Parham Department of Electrical and Computer Engineering, University of Kurdistan, Sanandaj, Iran aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 72/1(2013-09-01), 535-547 0929-6212 72:1<535 2013 72 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer