Abstract
Multipath routing is one of the major challenges to be considered in wireless sensor network (WSN). This can be used to increase the network lifetime, ease the need for update the route table frequently, balance the traffic load, and improve the overall network performance. The proposed approach cost-based multipath routing (CBMR) is meeting the above criteria based on the cost of sensor nodes. On the other hand, selecting multipath is an NP-complete problem. In this paper, the number of path produced by CBMR are optimized using particle swarm optimization (PSO) algorithm is proposed. Simulation results show that CBMR-PSO routing approach has better performance as compared with CBMR and EECA.
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Vairam, T., Kalaiarasan, C. (2016). PSO-Based Multipath Routing in Wireless Sensor Network. In: Suresh, L., Panigrahi, B. (eds) Proceedings of the International Conference on Soft Computing Systems. Advances in Intelligent Systems and Computing, vol 398. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2674-1_43
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DOI: https://doi.org/10.1007/978-81-322-2674-1_43
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