ew 18: e18

Research Article

An adaptive ensemble localization approach for sensor nodes in WSN-IoT

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  • @ARTICLE{10.4108/eai.13-7-2018.164100,
        author={Ravi Sharma and Shiva Prakash},
        title={An adaptive ensemble localization approach for sensor nodes in WSN-IoT},
        journal={EAI Endorsed Transactions on Energy Web: Online First},
        volume={},
        number={},
        publisher={EAI},
        journal_a={EW},
        year={2020},
        month={4},
        keywords={WSN-IoT, Range Based, Beacon Node, Localization Accuracy, Convergence Rate, Location Error},
        doi={10.4108/eai.13-7-2018.164100}
    }
    
  • Ravi Sharma
    Shiva Prakash
    Year: 2020
    An adaptive ensemble localization approach for sensor nodes in WSN-IoT
    EW
    EAI
    DOI: 10.4108/eai.13-7-2018.164100
Ravi Sharma1,*, Shiva Prakash2
  • 1: Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology – Gorakhpur, India
  • 2: Department of Information Technology and Computer Application, Madan Mohan Malaviya University of Technology – Gorakhpur, India
*Contact email: ravi.cs.0904@gmail.com

Abstract

Localization is an essential module for most protocols and applications in Wireless Sensor Networks - Internet of Things (WSN-IoT). Among the well-known approaches available for WSN-IoT localization, the algorithm requires at least one, two, or three beacon nodes-based localization approaches. Many other localization protocols use a small set of beacon nodes for the localization of sensor nodes. However, still, the authors are not able to provide an accurate and reliable approach in the field of WSN-IoT. Thus, this work provides an adaptive ensemble localization approach in WSN-IoT. The proposed approach adaptively uses the concept of available single, two, and three beacons nodes-based localization approaches according to the number of available beacon nodes. By comparing available single, two, or three beacons nodes-based localization approaches the simulation results of the proposed work outperformed in terms of fast convergence rate, less erroneous and higher accuracy with reducing the line of sight problem.