Abstract
This paper addresses the problem of optimal route selection and throughput optimization using heuristic computation in realistic communication environments for mobile sensor networks. The strategy is developed in two phases: communication aware optimization that selects the optimal route by using communication quality as the metric for routing decision; and position aware optimization that identifies the bottleneck link on the selected route, then enables route reconfiguration by relocating the bottleneck involved relay to the optimal position with higher throughput. The optimal position is found using particle swarm optimization and mobility of the relay is governed by a feedback control. We demonstrate through simulations that proposed strategy provides better routes in terms of end-to-end throughput as compared to other routing strategies based on ideal communication models.
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Fida, A., Tuah, N.J., Ngo, T.D. (2015). PSO Based Throughput Optimization for Mobile Sensor Networks. In: Phon-Amnuaisuk, S., Au, T. (eds) Computational Intelligence in Information Systems. Advances in Intelligent Systems and Computing, vol 331. Springer, Cham. https://doi.org/10.1007/978-3-319-13153-5_5
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DOI: https://doi.org/10.1007/978-3-319-13153-5_5
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13152-8
Online ISBN: 978-3-319-13153-5
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