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An Efficient Approach for Localizing Sensor Nodes in 2D Wireless Sensor Networks Using Whale Optimization-Based Naked Mole Rat Algorithm

Author

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  • Goldendeep Kaur

    (Department of Computer Science and Engineering, IK Gujral Punjab Technical University, Jalandhar 144603, Punjab, India
    Department of Computer Science and Engineering, Guru Nanak Dev Engineering College, Ludhiana 141006, Punjab, India)

  • Kiran Jyoti

    (Department of Computer Science and Engineering, Guru Nanak Dev Engineering College, Ludhiana 141006, Punjab, India)

  • Samer Shorman

    (College of Arts and Science, Applied Science University, Al Eker P.O. Box 5055, Bahrain)

  • Anas Ratib Alsoud

    (Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman 19328, Jordan)

  • Rohit Salgotra

    (Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, 30-059 Kraków, Poland
    Faculty of Information Technology, Middle East University, Amman 11813, Jordan
    Data Science Institute, University of Technology Sydney, Sydney 2007, Australia)

Abstract

Localization has emerged as an important and critical component of research in Wireless Sensor Networks (WSNs). WSN is a network of numerous sensors distributed across broad areas of the world to conduct numerous activities, including sensing the data and transferring it to various devices. Most applications, like animal tracking, object monitoring, and innumerable resources put in the interior as well as outdoor locations, need to identify the position of the occurring incident. The primary objective of localization is to identify the locality of sensor nodes installed in a network so that the location of a particular event can be traced. Different optimization approaches are observed in the work for solving the localization challenge in WSN and assigning the apt positions to undiscovered sensor nodes. This research employs the approach of localizing sensor nodes in a 2D platform utilizing an exclusive static anchor node and virtual anchors to detect dynamic target nodes by projecting these six virtual anchors hexagonally at different orientations and then optimizing the estimated target node co-ordinates employing Whale Optimization-based Naked Mole Rat Algorithm (WONMRA). Moreover, the effectiveness of a variety of optimization strategies employed for localization is compared to the WONMRA strategy concerning localization error and the number of nodes being localized, and it has been investigated that the average error in localization is 0.1999 according to WONMRA and is less than all other optimization techniques.

Suggested Citation

  • Goldendeep Kaur & Kiran Jyoti & Samer Shorman & Anas Ratib Alsoud & Rohit Salgotra, 2024. "An Efficient Approach for Localizing Sensor Nodes in 2D Wireless Sensor Networks Using Whale Optimization-Based Naked Mole Rat Algorithm," Mathematics, MDPI, vol. 12(15), pages 1-23, July.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:15:p:2315-:d:1441926
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    References listed on IDEAS

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    1. Parulpreet Singh & Arun Khosla & Anil Kumar & Mamta Khosla, 2018. "Computational intelligence based localization of moving target nodes using single anchor node in wireless sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 69(3), pages 397-411, November.
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