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An improved fuzzy enabled optimal multipath routing for wireless sensor network

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Abstract

Wireless sensor network (WSN) is a network which is made up of many sensor nodes that interact with each other and with the physical world. Recent advancement in the field of communication networking has led to the development of many sensor platforms that are low-power and cost conservative. The network is made up of numerous sensor nodes, which have to route amongst each other for a data to reach its destination and problems arise when there is failure to forward the messages to the intermediate nodes. Multipath routing helps in establishing multiple paths within source and destination, providing the probability of the data reaching the destination and by sending multiple copies through different paths. The reliability of the path is measured through a fuzzy mechanism with limited rules (FMLR) algorithm to assess how far the path with multiple parameters is reliable and selecting the optimal route between source and destination. Outcome of the study shows that better results are achieved through the proposed bacterial foraging optimization (BFO)-fuzzy method compared to sequenced distance vector (DSDV).

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Authors and Affiliations

  1. United Institute of Technology, Coimbatore, India

    P. Sindhuja

  2. Adithya Institute of Technology, Coimbatore, India

    P. Ramamoorthy

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  1. P. Sindhuja
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  2. P. Ramamoorthy
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Correspondence to P. Sindhuja.

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Sindhuja, P., Ramamoorthy, P. An improved fuzzy enabled optimal multipath routing for wireless sensor network. Cluster Comput 22 (Suppl 5), 11689–11697 (2019). https://doi.org/10.1007/s10586-017-1452-9

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  • DOI: https://doi.org/10.1007/s10586-017-1452-9

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