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Optimized Relay Nodes Positioning to Achieve Full Connectivity in Wireless Sensor Networks

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Abstract

Wireless sensor networks (WSNs) located in certain environments may get segregated into disjoint segments due to breakdown of one or more sensor nodes. This results in the failure of the entire network. It is necessary to restore the connectivity among the disjoint segments to ensure the accuracy of the data collected by the sink node. Relay nodes (RNs) aid in improving network life time and reducing the data latency. We can ensure full connectivity of the network by positioning relay nodes at certain locations in the deployment area. Therefore optimal relay nodes locations need to be identified to design a fully connected WSN. In this paper, we use moth flame optimizer (MFO) algorithm, interior search algorithm (ISA) and bat algorithm (BA) to identify the optimal positions for the placement of RNs. The proposed work uses the heuristic fully connected network to check the connectivity of the network. Extensive simulations have been carried out and the results show the superiority of MFO compared to BA, ISA and minimum spanning tree based M1tRNP approach.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Goa, Goa, India

    Saunhita Sapre & S. Mini

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  1. Saunhita Sapre
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  2. S. Mini
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Correspondence to Saunhita Sapre.

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Sapre, S., Mini, S. Optimized Relay Nodes Positioning to Achieve Full Connectivity in Wireless Sensor Networks. Wireless Pers Commun 99, 1521–1540 (2018). https://doi.org/10.1007/s11277-018-5290-8

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  • DOI: https://doi.org/10.1007/s11277-018-5290-8

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