Advancing Localization Accuracy- Fusion of Multiple Positioning Technologies for Robust and Adaptive Solutions

Siti Nur

doi:10.55524/ijircst.2024.12.3.27

Abstract

Accurate localization is crucial for numerous applications, spanning from navigation systems to indoor positioning and asset tracking. However, achieving precise localization remains challenging, especially in environments where traditional positioning technologies face limitations. To address this challenge, this paper proposes a novel approach: the fusion of multiple positioning technologies. By integrating data from GPS, Wi-Fi, Bluetooth, RFID, and other sensors, our framework aims to enhance localization accuracy, robustness, and adaptability across diverse environments. We present a comprehensive fusion algorithm that combines geometric, probabilistic, and machine learning techniques, while incorporating context-awareness mechanisms for adaptive localization. Through simulations and real-world experiments, we demonstrate the effectiveness of our fusion framework in improving localization accuracy and resilience to environmental factors. This research contributes to advancing the state-of-the-art in localization technologies and opens avenues for innovative applications in transportation, healthcare, retail, and beyond.

Keywords

Accurate Localization, Localization Technologies Fusion, Adaptive Solutions, Machine Learning

References

T. Ahmad, "3D Localization Techniques for Wireless Sensor Networks," Doctoral dissertation, Auckland University of Technology, 2019.
B. Dil, S. Dulman, and P. Havinga, "Range-based localization in mobile sensor networks," in European Workshop on Wireless Sensor Networks, Berlin, Heidelberg: Springer Berlin Heidelberg, Feb. 2006, pp. 164-179.
T. Ahmad, X. J. Li, and B. C. Seet, "Parametric loop division for 3D localization in wireless sensor networks," Sensors, vol. 17, no. 7, p. 1697, 2017.
Rajendran, K. Obraczka, and J. J. Garcia-Luna-Aceves, "Energy-Efficient, Collision-Free Medium Access Control for Wireless Sensor Networks," in Proc. ACM SenSys „03, Los Angeles, CA, Nov. 2003, pp. 181-192.
L. Bao and J. J. Garcia-Luna-Aceves, "A New Approach to Channel Access Scheduling for Ad Hoc Networks," in 7th Ann. Int'l. Conf. Mobile Comp. and Net., 2001, pp. 210-221.
T. Ahmad, X. J. Li, and B. C. Seet, "A self-calibrated centroid localization algorithm for indoor ZigBee WSNs," in 2016 8th IEEE International Conference on Communication Software and Networks (ICCSN), 2016, pp. 455-461.
T. Ahmad, X. J. Li, and B. C. Seet, "3D localization based on parametric loop division and subdivision surfaces for wireless sensor networks," in 2016 25th Wireless and Optical Communication Conference (WOCC), 2016, pp. 1-6.
Y. C. Tay, K. Jamieson, and H. Balakrishnan, "Collision Minimizing CSMA and Its Applications to Wireless Sensor Networks," IEEE JSAC, vol. 22, no. 6, pp. 1048-1057, Aug. 2004.
T. Ahmad, X. J. Li, and B. C. Seet, "3D localization using social network analysis for wireless sensor networks," in 2018 IEEE 3rd international conference on communication and information systems (ICCIS), 2018, pp. 88-92.
J. H. Betzing, "Beacon-based customer tracking across the high street: perspectives for location-based smart services in retail," 2018.
T. Ahmad, M. Usman, M. Murtaza, I. B. Benitez, A. Anwar, V. Vassiliou, A. Irshad, X. J. Li, and E. A. Al-Ammar, "A Novel Self-Calibrated UWB Based Indoor Localization Systems for Context-Aware Applications," IEEE Transactions on Consumer Electronics, 2024.
H. Lu, "Ultrasonic Signal Design for Beacon-based Indoor Localization," 2021.
T. Ahmad, X. J. Li, B.-C. Seet, and J. C. Cano, "Social Network Analysis Based Localization Technique with Clustered Closeness Centrality for 3D Wireless Sensor Networks," Electronics, vol. 9, no. 5, p. 738, 2020.
M. A. Saleem et al., "Deep learning-based dynamic stable cluster head selection in VANET," Journal of Advanced Transportation, vol. 2021, p. 2021, 2021.
H. Xu et al., "An archimedes curve-based mobile anchor node localization algorithm in wireless sensor networks," in Proceedings of the 8th World Congress on Intelligent Control and Automation (WCICA '10), Jinan, China, July 2010, pp. 6993–6997.
J. Lee, W. Chung, and E. Kim, "Robust DV-Hop algorithm for localization in wireless sensor network," in Proceedings of the International Conference on Control, Automation and Systems, Gyeonggi-do, South Korea, October 2010, pp. 2506–2509.
Y. Gu et al., "An anchor-based pedestrian navigation approach using only inertial sensors," Sensors, vol. 16, no. 3, p. 334, 2016.
T. Ahmad, X. J. Li, and B.-C. Seet, "Noise Reduction Scheme for Parametric Loop Division 3D Wireless Localization Algorithm Based on Extended Kalman Filtering," Journal of Sensor and Actuator Networks, vol. 8, no. 2, p. 24, 2019.
M. Murtaza et al., "Facial expression detection using six facial expressions hexagon (sfeh) model," in 2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC), 2019, pp. 0190-0195.
T. Ahmad, X. J. Li, and B.-C. Seet, "Fuzzy-Logic Based Localization for Mobile Sensor Networks," in 2019 2nd International Conference on Communication, Computing and Digital systems (CCODE), 2019, pp. 43-47.
T. Ahmad, X. J. Li, A. K. Cherukuri, and K. I. Kim, "Hierarchical localization algorithm for sustainable ocean health in large-scale underwater wireless sensor networks," Sustainable Computing: Informatics and Systems, vol. 39, p. 100902, 2023.
M. I. U. Haq et al., "Robust graph-based localization for industrial Internet of things in the presence of flipping ambiguities," CAAI Transactions on Intelligence Technology, 2023.
T. Ahmad, X. J. Li, J. Wenchao, and A. 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, 2020, pp. 8-15.
T. Ahmad et al., "Spark Spectrum Allocation for D2D Communication in Cellular Networks," CMC-Computers Materials & Continua, vol. 70, no. 3, pp. 6381-6394, 2022.
J. Wang and H. Jin, "Improvement on APIT localization algorithms for wireless sensor networks," in 2009 International Conference on Networks Security, Wireless Communications and Trusted Computing, 2009, vol. 1, pp. 719-723.
Z. Shah et al., "A New Generalized Logarithmic–X Family of Distributions with Biomedical Data Analysis," Applied Sciences, vol. 13, no. 6, p. 3668, 2023.
T. Ahmad, "An improved accelerated frame slotted ALOHA (AFSA) algorithm for tag collision in RFID," arXiv preprint arXiv:1405.6217, 2014.
Y. Wang et al., "Rangefree localization using expected hop progress in wireless sensor networks," IEEE Transactions on Parallel and Distributed Systems, vol. 20, no. 10, pp. 1540–1552, 2009.
M. A. Hasan et al., "A Novel Multi-Cell Interference-Aware Cooperative QoS-Based NOMA Group D2D System," Future Internet, vol. 15, no. 4, p. 118, 2023.
Z. Shah et al., "A New Generalized Logarithmic–X Family of Distributions with Biomedical Data Analysis," Applied Sciences, vol. 13, no. 6, p. 3668, 2023.
M. Riaz et al., "Secure and Fast Image Encryption Algorithm Based on Modified Logistic Map," Information, vol. 15, no. 3, p. 172, 2024.
A. Nadeem et al., "Depression detection based on hybrid deep learning SSCL framework using self-attention mechanism: An application to social networking data," Sensors, vol. 22, no. 24, p. 9775, 2022.

Cites this article as

S. Nur "Advancing Localization Accuracy- Fusion of Multiple Positioning Technologies for Robust and Adaptive Solutions ", International Journal of Innovative Research in Computer Science and Technology (IJIRCST), vol. 12, no. 3, pp. 162-167, 2024. doi: https://doi.org/10.55524/ijircst.2024.12.3.27

Corresponding Author

Siti Nur

Department of Computer Science, Lampung University, Bandar Lampung, Indonesia

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