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An optimized sensor node localization approach for wireless sensor networks using RSSI

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Abstract

This article offers an efficient isosceles layout model for node deployment, and a parameter-less Jaya algorithm is also proposed as a solution to the sensor node localization issue in wireless sensor networks (WSNs). The proposed method bases its range measuring on the receive signal strength indicator (RSSI) method. The proposed layout ensures that target nodes are always within the anchor nodes’ transmission range, reducing the influence of RSSI interference and improving node localization accuracy. Compared to the earlier proposed square and equilateral layout models, the proposed model shows significant improvement. The performance of the earlier layout models and the proposed isosceles layout model for node localization is analyzed using a Jaya algorithm and compared with particle swarm optimization (PSO) and salp swarm algorithm (SSA)-based node localization algorithm. The proposed algorithm’s performance is evaluated using scalability and localization accuracy assessments. We investigate the influence of the degree of irregularity on localization accuracy for each layout. The proposed isosceles layout performs 14.16% and 8.56% better than the square and equilateral layout models for the proposed Jaya-based node localization algorithm. The proposed algorithm performs 7.16% and 4.24% better than the PSO- and SSA-based node localization algorithms for the isosceles layout model in WSNs for the same parameters. MATLAB simulation evaluates the proposed layout model and node localization algorithm.

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Acknowledgements

Thank you to all the anonymous reviewers for providing valuable suggestions in order to create a better version of the proposed article.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India

    Shilpi, Prateek Raj Gautam & Arvind Kumar

  2. Department of Electronics and Communication Engineering, KL University, Vijayawada, India

    Sunil Kumar

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  1. Shilpi
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  2. Prateek Raj Gautam
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  3. Sunil Kumar
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  4. Arvind Kumar
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Correspondence to Shilpi.

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Shilpi, Gautam, P.R., Kumar, S. et al. An optimized sensor node localization approach for wireless sensor networks using RSSI. J Supercomput 79, 7692–7716 (2023). https://doi.org/10.1007/s11227-022-04971-w

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