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Wireless Networks
Published in: Wireless Networks 4/2020

30-05-2019

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

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

Published in: Wireless Networks | Issue 4/2020

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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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Metadata
Title
M-Curves path planning model for mobile anchor node and localization of sensor nodes using Dolphin Swarm Algorithm
Authors
K. Kannadasan
Damodar Reddy Edla
Mahesh Chowdary Kongara
Venkatanareshbabu Kuppili
Publication date
30-05-2019
Publisher
Springer US
Published in
Wireless Networks / Issue 4/2020
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-019-02032-4

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