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M-Curves path planning model for mobile anchor node and localization of sensor nodes using Dolphin Swarm Algorithm

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Abstract

Location information of a sensor node is the primary concern to process the sensed data in Wireless Sensor Networks (WSNs). The location of the sensor node is used in other domains of sensor network like message routing, node tracking, load balancing. For statically deployed sensor nodes, mobile anchor based localization is an efficient solution. The main challenge in mobile anchor based localization is designing an optimum path for the mobile anchor node considering the coverage, path length and localizability of sensor nodes as the key features. In this paper, we propose a novel path planning approach for mobile anchor based localization called “M-Curves”. Our proposed model promises that all the nodes in the network will receive at least three non-collinear beacon messages for localization. Our proposed trajectory assures full coverage, high localization accuracy as compared to other static models. Also, we optimize the localization process by using Dolphin Swarm Algorithm(DSA). The fitness function used for optimization in DSA, minimizes the localization error of the node in the network.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Goa, Ponda, Goa, 403401, India

    K. Kannadasan, Damodar Reddy Edla, Mahesh Chowdary Kongara & Venkatanareshbabu Kuppili

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  1. K. Kannadasan
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  2. Damodar Reddy Edla
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  3. Mahesh Chowdary Kongara
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  4. Venkatanareshbabu Kuppili
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Correspondence to Damodar Reddy Edla.

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Kannadasan, K., Edla, D.R., Kongara, M.C. et al. M-Curves path planning model for mobile anchor node and localization of sensor nodes using Dolphin Swarm Algorithm. Wireless Netw 26, 2769–2783 (2020). https://doi.org/10.1007/s11276-019-02032-4

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