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A novel hybrid range-free approach to locate sensor nodes in 3D WSN using GWO-FA algorithm

Author

Listed:
  • Prabhjot Singh

    (Chandigarh University)

  • Nitin Mittal

    (Chandigarh University)

  • Parulpreet Singh

    (LPU)

Abstract

The precise node location of the sensor nodes is an essential requirement in wireless sensor networks (WSNs) to determine the place or event occurring at a particular instant of time. In WSN, existing localization schemes consider two-dimensional (2D) space, while in actual life, sensor nodes are placed in three-dimensional (3D) space. In 3D localization, there are many research challenges, such as higher computational complexity, poor location prediction, lesser coverage, and depending only on fewer anchor nodes. To address various research issues in a 3D environment we propose a range-free technique applied in an anisotropic scenario having degree of irregularity (DOI) as 0.01 using the concepts of a fuzzy logic system (FLS). Anisotropic properties of nodes are considered to determine the efficiency of Grey wolf with the Firefly algorithm. In our proposed scenario, the received signal strength (RSS) information is necessary among the target nodes and their corresponding anchor nodes for determining the location of target nodes using the information based on edge weights. These edge weights are further modeled using Hybrid Grey Wolf Optimization with Firefly Algorithm (GWO-FA) to estimate the location of target nodes. The proposed algorithm is energy efficient as a single location-aware node is used for localization. Further, the concept of virtual anchors is introduced that helps the algorithm to determine 3D positions.

Suggested Citation

  • Prabhjot Singh & Nitin Mittal & Parulpreet Singh, 2022. "A novel hybrid range-free approach to locate sensor nodes in 3D WSN using GWO-FA algorithm," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 80(3), pages 303-323, July.
    • Handle: RePEc:spr:telsys:v:80:y:2022:i:3:d:10.1007_s11235-022-00888-0
    DOI: 10.1007/s11235-022-00888-0
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    References listed on IDEAS

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    1. Alma Rodríguez & Carolina Del-Valle-Soto & Ramiro Velázquez, 2020. "Energy-Efficient Clustering Routing Protocol for Wireless Sensor Networks Based on Yellow Saddle Goatfish Algorithm," Mathematics, MDPI, vol. 8(9), pages 1-17, September.
    2. Gaurav Sharma & Ashok Kumar, 2018. "Fuzzy logic based 3D localization in wireless sensor networks using invasive weed and bacterial foraging optimization," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 67(2), pages 149-162, February.
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    Cited by:

    1. Ke Zhang & Guang Zhang & Xiuwu Yu & Shaohua Hu & Youcui Yuan, 2022. "WSNs node localization algorithm based on multi-hop distance vector and error correction," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 81(3), pages 461-474, November.
    2. Xiuwu Yu & Xun Wang & Yong Liu, 2024. "Secure positioning of wireless sensor networks against wormhole attacks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 87(3), pages 835-843, November.

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    More about this item

    Keywords

    Localization; WSNs; GWO-FA;
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