Wireless Sensor Network Localization Based on Static Anchor Node

Year : 2023 | Volume : 01 | Issue : 01 | Page : 12-20
By

    Siti Nur

  1. Student, Department of Computer Engineering, Universitas Negeri, Surabaya, Indonesia

Abstract

Anchor-based localization is a crucial challenge in wireless sensor networks (WSNs), aiming to determine the positions of all sensors by leveraging a limited number of anchor nodes whose locations are known. In this paper, we propose a novel algorithm for anchor-based localization in a static network, which improves the localization accuracy while reducing the computational complexity compared to existing methods. Our algorithm uses a range-based approach to estimate the distances between the sensors and anchor nodes, which are then used to compute the sensor positions using a least-squares method. To reduce the effects of measurement noise and anchor node density, we also introduce a weighted least-squares approach, which assigns larger weights to the measurements with lower noise levels and higher anchor node densities. We evaluate our algorithm through simulations on various network topologies with different densities of sensors and anchor nodes. The results show that our algorithm achieves significantly better localization accuracy than existing methods while maintaining low computational complexity. Moreover, our algorithm is robust to noise and anchor node density variations, making it suitable for real-world applications.

Keywords: Sensor, Localization, Anchor, RSSI, Mobile network

[This article belongs to International Journal of Wireless Security and Networks(ijwsn)]

How to cite this article: Siti Nur Wireless Sensor Network Localization Based on Static Anchor Node ijwsn 2023; 01:12-20
How to cite this URL: Siti Nur Wireless Sensor Network Localization Based on Static Anchor Node ijwsn 2023 {cited 2023 Jul 26};01:12-20. Available from: https://journals.stmjournals.com/ijwsn/article=2023/view=116431

References

1. Ahmad, Tanveer, Xue Jun Li, and Boon-Chong Seet. Parametric loop division for 3D localization in wireless sensor networks. Sensors 17, no. 7 (2017): 1697.
2. Yaro, Abdulmalik Shehu, Filip Maly, and Pavel Prazak. A Survey of the Performance-Limiting Factors of a 2-Dimensional RSS Fingerprinting-Based Indoor Wireless Localization System. Sensors 23, no. 5 (2023): 2545.
3. Soundararajan, S., Kurangi, C., Basha, A., Uthayakumar, J., Kalaivani, K., Dhamodaran, M., & Shukla, N. K. (2023). Metaheuristic optimization based node localization and multihop routing scheme with mobile sink for wireless sensor networks. Wireless Personal Communications, 1-23.
4. Ahmad, Tanveer, Xue Jun Li, Boon-Chong Seet, and Juan-Carlos Cano. Social network analysis based localization technique with clustered closeness centrality for 3d wireless sensor networks. Electronics 9, no. 5 (2020): 738.
5. Achroufene, Achour. RSSI-based geometric localization in wireless sensor networks. The Journal of Supercomputing 79, no. 5 (2023): 5615-5642.
6. Ahmad, Tanveer, Xue Jun Li, and Boon-Chong Seet. A self-calibrated centroid localization algorithm for indoor ZigBee WSNs. In 2016 8th IEEE International Conference on Communication Software and Networks (ICCSN), pp. 455-461. IEEE, 2016.
7. Jin, Yong, Lin Zhou, Lu Zhang, Zhentao Hu, and Jing Han. A novel range-free node localization method for wireless sensor networks. IEEE Wireless Communications Letters 11, no. 4 (2022): 688-692.
8. Ahmad, Tanveer. 3D Localization Techniques for Wireless Sensor Networks. PhD diss., Auckland University of Technology, 2019.
9. Ahmad, T., Li, X.J. and Seet, B.C., 2016, May. 3D localization based on parametric loop division and subdivision surfaces for wireless sensor networks. In 2016 25th Wireless and Optical Communication Conference (WOCC) (pp. 1-6). IEEE.
10. Shah, Zubir, Dost Muhammad Khan, Zardad Khan, Nosheen Faiz, Sundus Hussain, Asim Anwar, Tanveer Ahmad, and Ki-Il Kim. A New Generalized Logarithmic–X Family of Distributions with Biomedical Data Analysis. Applied Sciences 13, no. 6 (2023): 3668.
11. Ahmad, Tanveer, Xue Jun Li, and Boon-Chong Seet. Noise reduction scheme for parametric loop division 3D wireless localization algorithm based on extended kalman filtering. Journal of Sensor and Actuator Networks 8, no. 2 (2019): 24.
12. Ahmad, Tanveer, Xue Jun Li, and Boon-Chong Seet. 3D localization using social network analysis for wireless sensor networks. In 2018 IEEE 3rd international conference on Communication and information systems (ICCIS), pp. 88-92. IEEE, 2018.
13. Ismail, Mohd Ismifaizul Mohd, Rudzidatul Akmam Dzyauddin, Hazilah Mad Kaidi, Mohd Azri Mohd Izhar, Shafiqa Samsul, and Nur Aisyah Azmi. Comparison of Wireless Sensor Node Localisation Between Trilateration and Multi-Lateration Methods Using RSSI. In 2022 IEEE Symposium on Future Telecommunication Technologies (SOFTT), pp. 97-102. IEEE, 2022.
14. Hasan, M.A., Ahmad, T., Anwar, A., Siddiq, S., Malik, A., Nazar, W. and Razzaq, I., 2023. A Novel Multi-Cell Interference-Aware Cooperative QoS-Based NOMA Group D2D System. Future Internet, 15(4), p.118.
15. Ahmad, T., Khan, I., Irshad, A., Ahmad, S., Soliman, A.T., Gardezi, A.A., Shafiq, M. and Choi, J.G., 2022. Spark Spectrum Allocation for D2D Communication in Cellular Networks. CMC-COMPUTERS MATERIALS & CONTINUA, 70(3), pp.6381-6394.
16. Ahmad, Tanveer, Xue Jun Li, and Boon-Chong Seet. Fuzzy-logic based localization for mobile sensor Networks. In 2019 2nd International Conference on Communication, Computing and Digital systems (C- CODE), pp. 43-47. IEEE, 2019.
17. Vijayan, Sneha, and Nagarajan Munusamy. Deterministic Centroid Localization for Improving Energy Efficiency in Wireless Sensor Networks. Cybernetics and Information Technologies 22, no. 1 (2022): 24-39.
18. Ahmad, Tanveer, Xue Jun Li, Jiang Wenchao, and Adnan Ghaffar. Frugal Sensing: A Novel approach of Mobile Sensor Network Localization based on Fuzzy-Logic. In Proceedings of the ACM MobiArch 2020 The 15th Workshop on Mobility in the Evolving Internet Architecture, pp. 8-15. 2020.
19. Ahmad, T., Khan, I., Irshad, A., Ahmad, S., Soliman, A.T., Gardezi, A.A., Shafiq, M. and Choi, J.G., 2022. Spark Spectrum Allocation for D2D Communication in Cellular Networks. CMC- COMPUTERS MATERIALS & CONTINUA, 70(3), pp.6381-6394.
20. Mohanta, Tapan Kumar, and Dushmanta Kumar Das. Advanced localization algorithm for wireless sensor networks using fractional order class topper optimization. The Journal of Supercomputing 78, no. 8 (2022): 10405-10433.


Regular Issue Subscription Review Article
Volume 01
Issue 01
Received July 3, 2023
Accepted July 7, 2023
Published July 26, 2023