GAFO: genetic adaptive fuzzy hop selection scheme for wireless sensor networks

Authors:
Darminder Singh Ghataoura;Yang Yang;George Matich
Affiliations:
University College London, London, U.K;University College London, London, U.K;Selex Galileo, Basildon, Essex, U.K
Venue:
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Year:
2009

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Abstract

Throughput and energy efficiency are two important parameters to evaluate the performance of a Wireless Sensor Network (WSN). For WSNs involved in varying channel conditions, packet transmission reliability can be affected. This results in increased number of retransmissions and therefore energy consumption, with low throughput. Making optimal choices for robust packet transmission in this scenario is vital. For the purpose of this study, we propose a genetic adaptive fuzzy scheme that uses current network conditions in hop node selection. Signal to noise ratio (SNR) and outage probability (Pout) are chosen as input parameters for the proposed scheme, to decide in a distributed manner, the best hop for reliable packet forwarding. Simulation results show the proposed scheme does indeed provide advantages in improving on transmission reliability by 20% and energy efficiency performance by 15%, under different channel conditions.