DocumentCode :
3241997
Title :
Reinforcement learning based ALOHA for multi-hop Wireless Sensor Networks with Informed Receiving
Author :
Chu, Y. ; Mitchell, P.D. ; Grace, D.
Author_Institution :
Dept. of Electron., Univ. of York, York, UK
fYear :
2012
fDate :
18-19 June 2012
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, an ALOHA based Medium Access Control (MAC) protocol (RL-ALOHA with Informed Receiving) is proposed for multi-hop Wireless Sensor Networks (WSNs), which overcomes the traditional problems of low throughput, while exploiting their advantages of simplicity, low computational complexity and overheads. Reinforcement Learning (RL) is implemented as an intelligent slot assignment strategy in order to avoid collisions with minimal additional overheads. To improve the energy efficiency, Informed Receiving (IR) and ping packets are applied to avoid idle listening and overhearing. The simulation results show that this approach significantly increases the energy efficiency, achieves over twice throughput of Slotted ALOHA and reduces the end-to-end delay.
Keywords :
access protocols; computational complexity; learning (artificial intelligence); telecommunication computing; wireless sensor networks; IR; MAC protocol; RL; RL-ALOHA; WSN; collision avoidance; idle listening avoidance; informed receiving; intelligent slot assignment strategy; low computational complexity; medium access control protocol; minimal additional overheads; multihop wireless sensor networks; overhearing avoidance; reinforcement learning; slotted ALOHA; ALOHA; Medium Access Control; Reinforcement Learning; Wireless Sensor Networks;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Wireless Sensor Systems (WSS 2012), IET Conference on
Conference_Location :
London
Electronic_ISBN :
978-1-84919-625-3
Type :
conf
DOI :
10.1049/cp.2012.0582
Filename :
6294342
Link To Document :
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