Practical Implementation Issues of Reinforcement Learning Based ALOHA for Wireless Sensor Networks | VDE Conference Publication | IEEE Xplore
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Practical Implementation Issues of Reinforcement Learning Based ALOHA for Wireless Sensor Networks

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Abstract:

This paper presents a practical implementation of the Reinforcement Learning (RL) based ALOHA protocols (RLALOHA) for single-hop communication. The practical implementati...Show More

Abstract:

This paper presents a practical implementation of the Reinforcement Learning (RL) based ALOHA protocols (RLALOHA) for single-hop communication. The practical implementation issues of RL-ALOHA are studied. A potential real-world phenomenon that impacts on performance is brought to light and a new scheme is proposed to deal with the phenomenon which provides the ideal throughput performance of RL-ALOHA. The practical results show that the proposed scheme improves the convergence properties to the steady state of one slot assigned per node.
Date of Conference: 27-30 August 2013
Date Added to IEEE Xplore: 15 October 2013
Print ISBN:978-3-8007-3529-7
Conference Location: Ilmenau, Germany