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<p>Internet of Things (IoT) enabled wireless sensor networks (WSN) connects multiple physical objects or things in a cyberspace and enables the massive machine to machine communication in 5G networks. Here, the localization of these devices plays a vital role since the sensor nodes are distributed through the ubiquitous cyberspace for finding and collecting the required data. As the IoT enabled WSN are more prone to energy depletion, the aim of localization is to determine the location coordinates of appropriate nodes/things with an unidentified location. To reduce the localization error, the main objective is to implement a nature inspired squirrel search algorithm (SSA) as optimization technique for localizing the nodes in 5G networks. The SSA is explored in the context of IoT-WSN to balance among the exploration and exploitation capability of reducing the localization error. The IoT-WSN network with SSA is compared with the conventional particle-swarm-optimization, grey wolf optimization and DV-hop algorithms.</p>

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Squirrel search based localization for IoT enabled WSN in 5G networks

  • 期刊论文

  • 发表日期：

    2026年2月7日

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  • T. Shankar,
  • A. Rajesh,
  • P. Sivasankar,
  • Sai Pavan,
  • Sivasurya Prakash Reddy

摘要

Internet of Things (IoT) enabled wireless sensor networks (WSN) connects multiple physical objects or things in a cyberspace and enables the massive machine to machine communication in 5G networks. Here, the localization of these devices plays a vital role since the sensor nodes are distributed through the ubiquitous cyberspace for finding and collecting the required data. As the IoT enabled WSN are more prone to energy depletion, the aim of localization is to determine the location coordinates of appropriate nodes/things with an unidentified location. To reduce the localization error, the main objective is to implement a nature inspired squirrel search algorithm (SSA) as optimization technique for localizing the nodes in 5G networks. The SSA is explored in the context of IoT-WSN to balance among the exploration and exploitation capability of reducing the localization error. The IoT-WSN network with SSA is compared with the conventional particle-swarm-optimization, grey wolf optimization and DV-hop algorithms.