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2006

RL-MAC: a reinforcement learning based MAC protocol for wireless sensor networks

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RL-MAC: a reinforcement learning based MAC protocol for wireless sensor networks
:This paper introduces RL-MAC, a novel adaptive MediaAccess Control (MAC) protocol for Wireless Sensor Networks (WSN) that employs a reinforcement learning framework. Existing schemes centre around scheduling the nodes'sleep and active periods as means of minimising the energy consumption. Recent protocols employ adaptive duty cycles as means of further optimising the energy utilisation. However, in most cases each node determines the duty cycle as a function of its own traffic load. In this paper, nodes actively infer the state of other nodes, using a reinforcement learning based control mechanism, thereby achieving high thoughput and low power consumption for a wide range of traffic conditions. Moreover, the computational complexity of the proposed scheme is moderate rendering it pragmatic for practical deployments.
Zhenzhen Liu, Itamar Elhanany
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2006
Where IJSNET
Authors Zhenzhen Liu, Itamar Elhanany
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