Analysis of the effectiveness of object coordinates estimation in WSN using the RSS method
Vol 2, Issue 1, 2024
Issue release: 30 March 2024
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Abstract
The methods of estimating the coordinates of sensor nodes based on the measurements made at the “anchor” nodes are widely used in WSNs. In particular, such methods include the RSS method, which is based on measuring the power of signals coming from sensors. The article shows that a similar method can be used for estimating the coordinates of an observation object in the WSN. The efficiency of measuring the coordinates of such an object in the presence of power measurement errors is analyzed. The conditions for increasing this efficiency have been identified. It is shown that the estimation is biased, but the magnitude of the bias is practically independent of the observational conditions and, therefore, can be easily compensated.
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References
1. Sharma R. Advanced wireless sensor networks. In: Chapter in book Emerging computing paradigms: Principles, advanced and applications. Wiley Data and Cybersecurity; 2022. pp. 177-191.
2. Kwasinski A, Chande V. Recent applications and emerging designs in source-channel coding. In: Chapter in book Joint source-channel coding. Wiley-IEEE Press; 2022. pp. 335-379.
3. Khanna A, Kaur S. Internet of Things (IoT), Applications and Challenges: A Comprehensive Review. Wireless Personal Communications. 2020; 114(2): 1687-1762. doi: 10.1007/s11277-020-07446-4
4. Liu Y, Yang Z. Location, Localization, and Localizability. Springer New York; 2011. doi: 10.1007/978-1-4419-7371-9
5. Zekavat SAR. Handbook of Position Location: Theory, Practice, and Advances. IEEE Press-Wiley; 2011.
6. Faragher R, Harle R. Location Fingerprinting with Bluetooth Low Energy Beacons. IEEE Journal on Selected Areas in Communications. 2015; 33(11): 2418-2428. doi: 10.1109/jsac.2015.2430281
7. Win MZ, Shen Y, Dai W. A Theoretical Foundation of Network Localization and Navigation. Proceedings of the IEEE. 2018; 106(7): 1136-1165. doi: 10.1109/jproc.2018.2844553
8. Zhai D, Lin Z. RSS-based indoor positioning with biased estimator and local geographical factor. 2015 22nd International Conference on Telecommunications (ICT). Published online April 2015. doi: 10.1109/ict.2015.7124718
9. Lin M, Wang W, Liu C. Preventing Hostile TOA/TDOA Localization with AF Relay. IEEE Communications Letters. 2023; 27(4): 1085-1089. doi: 10.1109/lcomm.2023.3247871
10. Wang Y, Ho KC. TDOA Positioning Irrespective of Source Range. IEEE Transactions on Signal Processing. 2017; 65(6): 1447-1460. doi: 10.1109/tsp.2016.2630030
11. Wu P, Su S, Zuo Z, et al. Time Difference of Arrival (TDoA) Localization Combining Weighted Least Squares and Firefly Algorithm. Sensors. 2019; 19(11): 2554. doi: 10.3390/s19112554
12. Zuo P, Peng T, Wu H, et al. Directional source localization based on RSS-AOA combined measurements. China Communications. 2020; 17(11): 181-193. doi: 10.23919/jcc.2020.11.015
13. Nguyen NH, Dogancay K, Kuruoglu EE. An Iteratively Reweighted Instrumental-Variable Estimator for Robust 3-D AOA Localization in Impulsive Noise. IEEE Transactions on Signal Processing. 2019; 67(18): 4795-4808. doi: 10.1109/tsp.2019.2931210
14. Li X. RSS-Based Location Estimation with Unknown Pathloss Model. IEEE Transactions on Wireless Communications. 2006; 5(12): 3626-3633. doi: 10.1109/twc.2006.256985
15. Niu R, Vempaty A, Varshney PK. Received-Signal-Strength-Based Localization in Wireless Sensor Networks. Proceedings of the IEEE. 2018; 106(7): 1166-1182. doi: 10.1109/jproc.2018.2828858
16. Peng T, Zuo P, You K, et al. Bounds and Methods for Multiple Directional Sources Localization Based on RSS Measurements. IEEE Access. 2019; 7: 131395-131406. doi: 10.1109/access.2019.2940650
17. Pflaum F, Erhardt S, Weigel R, et al. RSSI-based localization with minimal infrastructure using multivariate statistic techniques. In Proc. of IEEE Topical Conference on Wireless Sensors and Sensor Networks; 2017: 69-72. doi: 10.1109/ECAI.2018.8679093
18. Gezici S. A Survey on Wireless Position Estimation. Wireless Personal Communications. 2007; 44(3): 263-282. doi: 10.1007/s11277-007-9375-z
19. Dargie W, Poellabauer C. Fundamentals of wireless sensor networks: Theory and practice. Wiley & Sons; 2010.
20. Hernandez-Perez E, Navarro-Mesa JL, Martin-Gonzales S, et al. Path loss factor estimation for RSS-based localization algorithms with wireless sensor networks. In: 19th European Signal Processing Conference (EUSIPCO 2011). Barcelona, Spain; 2011. pp. 1994-1998.
21. Babu RS, Suganthi M. Review of energy detection for spectrum sensing in various channels and its performance for cognitive radio applications. American Journal of Engineering and Applied Sciences. 2012; 5(2): 151-156. doi: 10.3844/ajeassp.2012.151.156
22. Kostylev VI. Energy detection of a signal with random amplitude. In: IEEE International Conference on Communications. Conference Proceedings; 2002. pp. 1606-1610.
23. Bhat BR. Modern Probability Theory. New Academic Science; 2019.
24. Choi H., Jin H., Kim S.C. RSS bias compensation in BLE beacon based positioning system. In: 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN).
25. Parfenov VI, Le VD. Optimal fusion rule for distributed detection with channel errors taking into account sensors’ unreliability probability when protecting coastlines. International Journal of Sensor Networks. 2022; 38(2): 71-84. doi: 10.1504/IJSNET.2022.121157
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Copyright (c) 2024 Vladimir Ivanovich Parfenov
This work is licensed under a Creative Commons Attribution 4.0 International License.
Prof. Maode Ma
Qatar University, Qatar
Processing Speed (2023)
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