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An Experimental Study on BLE 5 Mesh Applied to Public Transportation

Published:13 April 2024Publication History
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Abstract

Today, In-Vehicle Wireless Sensor Networks (IVWSNs) are being used by car manufacturers because it saves time in the assembling process; saves costs in the harness and after-sales; and makes vehicles lighter, which helps lessen fuel consumption. There is no definition for wireless solution technology for IVWSNs, because each one has its own characteristics, and probably this is one of the reasons for its smooth usage in the automotive industry. A gap identified in wireless sensor networks for the automotive domain is that the related literature focuses only on ordinary cars with a star topology and few of them with mesh topology. This article aims to cover this gap by presenting an experimental study performed on verifying the new Bluetooth 5 technology working in a mesh topology applied to public transportation systems (buses). To perform this evaluation, a setup to emulate an IVWSN was deployed in a working city bus. Measuring the network metrics, the bus was placed in a variety of conditions during its trajectory to determine the influence of the passengers and the whole environment on the data transmission. The results suggest that Bluetooth 5 in a mesh topology is a promising candidate for IVWSNs because it shows the robustness of losing only 0.16% packets in the worst test, as well as its ability to cover a wider range compared to its previous version, indeed a better RSSI and jitter, with lower transmission power, compared to a star topology. The round trip time results can support the analysis for time-critical applications.

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REFERENCES

  1. [1] Bluetooth Group. 2019. Home Page. Retrieved February 21, 2024 from https://www.bluetooth.com/Google ScholarGoogle Scholar
  2. [2] Silicon Labs. Bluetooth 5, Refined for IoT. Retrieved February 21, 2024 from https://www.silabs.com/documents/referenced/white-papers/bluetooth-5-refined-for-the-IoT.pdfGoogle ScholarGoogle Scholar
  3. [3] Bluetooth Group. 2022. Bluetooth SIG, Bluetooth Total Shipments.Retrieved February 21, 2024 from https://www.bluetooth.com/2022-market-update/Google ScholarGoogle Scholar
  4. [4] Andersson Philip and Persson Linus. 2020. Evaluation of Bluetooth 5.1 as an Indoor Positioning System. KTH Royal Institute of Technology.Google ScholarGoogle Scholar
  5. [5] Azpilicueta Leire, Iturri Peio López, Aguirre Erik, Astrain José Javier, Villadangos Jesús, Zubiri Cristobal, and Falcone Francisco. 2015. Characterization of wireless channel impact on wireless sensor network performance in public transportation buses. IEEE Transactions on Intelligent Transportation Systems 16, 6 (2015), 32803293.Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. [6] Böcker Stefan, Arendt Christian, and Wietfeld Christian. 2017. On the suitability of Bluetooth 5 for the Internet of Things: Performance and scalability analysis. In Proceedings of the 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC ’17). IEEE, 17.Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. [7] Burman Scott G., Gao Jingya, Pasternack Gregory B., Fangue Nann A., Cadrett Paul, Campbell Elizabeth, and Ghosal Dipak. 2022. TempMesh—A flexible wireless sensor network for monitoring river temperatures. ACM Transactions on Sensor Networks 19, 1 (2022), 128.Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. [8] Carhacioglu Onur, Zand Pouria, and Nabi Majid. 2018. Cooperative coexistence of BLE and time slotted channel hopping networks. In Proceedings of the 2018 IEEE 29th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC ’18). IEEE, 17.Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. [9] Cochran William G.. 1977. Sampling Techniques. John Wiley & Sons.Google ScholarGoogle Scholar
  10. [10] Collotta Mario, Pau Giovanni, Talty Timothy, and Tonguz Ozan K.. 2018. Bluetooth 5: A concrete step forward toward the IoT. IEEE Communications Magazine 56, 7 (2018), 125131.Google ScholarGoogle ScholarCross RefCross Ref
  11. [11] Costa Carlos A. M., Dheans Miguel, Baltus Peter, and Gao Hao. 2018. Characterization of damper-to-damper wireless channel in small cars. In Proceedings of the 2018 IEEE MTT-S International Wireless Symposium (IWS ’18). IEEE, 13.Google ScholarGoogle ScholarCross RefCross Ref
  12. [12] Diez Victor, Arriola Aitor, Val Inaki, and Velez Manuel. 2020. Reliability evaluation of point-to-point links based on IEEE 802.15. 4 physical layer for IWSAN applications. AEU International Journal of Electronics and Communications 113 (2020), 152967.Google ScholarGoogle ScholarCross RefCross Ref
  13. [13] Eras Leonardo, Domínguez Federico, and Martinez Caril. 2022. Viability characterization of a proof-of-concept Bluetooth Mesh smart building application. International Journal of Distributed Sensor Networks 18, 5 (2022), 15501329221097819.Google ScholarGoogle ScholarCross RefCross Ref
  14. [14] Gheorghiu Razvan Andrei, Iordache Valentin, and Minea Marius. 2019. Assessment of ZigBee communications efficiency for truck platooning applications. In Proceedings of the 2019 11th International Conference on Electronics, Computers, and Artificial Intelligence (ECAI ’19). IEEE, 14.Google ScholarGoogle ScholarCross RefCross Ref
  15. [15] Hegde Bharatkumar. 2014. Modeling of Vehicle Controller Area Network for Control Systems Simulation. Ph.D. Dissertation. The Ohio State University.Google ScholarGoogle Scholar
  16. [16] Li Kai, Lu Ning, Zheng Jingjing, Zhang Pei, Ni Wei, and Tovar Eduardo. 2021. BloothAir: A secure aerial relay system using Bluetooth connected autonomous drones. ACM Transactions on Cyber-Physical Systems 5, 3 (2021), 122.Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. [17] Lin Jiun-Ren, Talty Timothy, and Tonguz Ozan K.. 2013. An empirical performance study of intra-vehicular wireless sensor networks under WiFi and Bluetooth interference. In Proceedings of the 2013 IEEE Global Communications Conference (GLOBECOM ’13). IEEE, 581586.Google ScholarGoogle Scholar
  18. [18] Lin Jiun-Ren, Talty Timothy, and Tonguz Ozan K.. 2015. On the potential of Bluetooth Low Energy technology for vehicular applications. IEEE Communications Magazine 53, 1 (2015), 267275.Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. [19] Matlab. 2023. Matlab for Students. Retrieved February 21, 2024 from https://www.mathworks.com/products/matlab/student.htmlGoogle ScholarGoogle Scholar
  20. [20] Mourad Alaa, Heigl Franz, and Hoeher Peter Adam. 2016. Performance evaluation of concurrent IEEE 802.11 systems in the automotive domain. In Proceedings of the 2016 IEEE 41st Conference on Local Computer Networks (LCN ’16). IEEE, 655661.Google ScholarGoogle ScholarCross RefCross Ref
  21. [21] Mourad Alaa, Muhammad Siraj, Kalaa Mohamad Omar Al, Refai Hazem H., and Hoeher Peter Adam. 2017. On the performance of WLAN and Bluetooth for in-car infotainment systems. Vehicular Communications 10 (2017), 112.Google ScholarGoogle ScholarCross RefCross Ref
  22. [22] Murillo Yuri, Chiumento Alessandro, Reynders Brecht, and Pollin Sofie. 2020. An all-wireless SDN framework for BLE mesh. ACM Transactions on Internet of Things 1, 4 (2020), 130.Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. [23] Nahas Beshr Al, Escobar-Molero Antonio, Klaue Jirka, Duquennoy Simon, and Landsiedel Olaf. 2021. BlueFlood: Concurrent transmissions for multi-hop Bluetooth 5—Modeling and evaluation. ACM Transactions on Internet of Things 2, 4 (2021), 130.Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. [24] Natgunanathan Iynkaran, Fernando Niroshinie, Loke Seng W., and Weerasuriya Charitha. 2023. Bluetooth Low Energy mesh: Applications, considerations and current state-of-the-art. Sensors 23, 4 (2023), 1826.Google ScholarGoogle ScholarCross RefCross Ref
  25. [25] NBR-15570. 2020. Transport—Technical Specification for Vehicles of Urban Characteristics for Public Transport of Passengers Manufacturing. Standard. ABNT, Associacao Brasileira de Normas Tecnicas.Google ScholarGoogle Scholar
  26. [26] Nordström Tomas and Kunert Kristina. 2019. On the interference management between non-stationary wireless networks. In Proceedings of the 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ’19). IEEE, 17641767.Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. [27] Peng Haixia, Liang Le, Shen Xuemin, and Li Geoffrey Ye. 2019. Vehicular communications: A network layer perspective. IEEE Transactions on Vehicular Technology 68, 2 (2019), 10641078.Google ScholarGoogle ScholarCross RefCross Ref
  28. [28] Rondón Raúl, Mahmood Aamir, Grimaldi Simone, and Gidlund Mikael. 2019. Understanding the performance of Bluetooth Mesh: Reliability, delay, and scalability analysis. IEEE Internet of Things Journal 7, 3 (2019), 20892101.Google ScholarGoogle ScholarCross RefCross Ref
  29. [29] Roque Alexandre S., Jazdi Nasser, Freitas Edison Pignaton De, and Pereira Carlos Eduardo. 2021. A fault modeling based runtime diagnostic mechanism for vehicular distributed control systems. IEEE Transactions on Intelligent Transportation Systems 23, 7 (2021), 72207232.Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. [30] Sassi Oussama, Naseef Mahmud, and Hervé Pascal. 2019. Estimation approach for the packet error rate of an in-vehicle wireless communications system. In Proceedings of the 2019 International Symposium on Electromagnetic Compatability (EMC EUROPE ’19). IEEE, 736741.Google ScholarGoogle ScholarCross RefCross Ref
  31. [31] Shen Zhong, Yang Qinghai, and Jiang Hai. 2021. Multichannel neighbor discovery in Bluetooth Low Energy networks: Modeling and performance analysis. IEEE Transactions on Mobile Computing. Published Online, September 20, 2021.Google ScholarGoogle Scholar
  32. [32] SIG Bluetooth. 2023. Bluetooth Mesh Profile v1.0. Retrieved February 21, 2024 from https://www.bluetooth.org/docman/handlers/downloaddoc.ashx?doc_id=429633Google ScholarGoogle Scholar
  33. [33] Sodhro Ali Hassan, Rodrigues Joel J. P. C., Pirbhulal Sandeep, Zahid Noman, Macedo Antônio Roberto L. de, and Albuquerque Victor Hugo C. de. 2020. Link optimization in software defined IoV driven autonomous transportation system. IEEE Transactions on Intelligent Transportation Systems. Published Online, February 26, 2020.Google ScholarGoogle Scholar
  34. [34] Wu Wufei, Li Renfa, Xie Guoqi, An Jiyao, Bai Yang, Zhou Jia, and Li Keqin. 2019. A survey of intrusion detection for in-vehicle networks. IEEE Transactions on Intelligent Transportation Systems. Published Online, April 11, 2019.Google ScholarGoogle Scholar
  35. [35] Xu Yanli and Huang Jinhui. 2023. A survey on time-sensitive networking standards and applications for intelligent driving. Processes 11, 7 (2023), 2211.Google ScholarGoogle ScholarCross RefCross Ref
  36. [36] Yang Jian, Poellabauer Christian, Mitra Pramita, and Neubecker Cynthia. 2020. Beyond beaconing: Emerging applications and challenges of BLE. Ad Hoc Networks 97 (2020), 102015.Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. [37] Yin Junjie, Yang Zheng, Cao Hao, Liu Tongtong, Zhou Zimu, and Wu Chenshu. 2019. A survey on Bluetooth 5.0 and mesh: New milestones of IoT. ACM Transactions on Sensor Networks 15, 3 (2019), 129.Google ScholarGoogle ScholarDigital LibraryDigital Library

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          cover image ACM Transactions on Sensor Networks
          ACM Transactions on Sensor Networks  Volume 20, Issue 3
          May 2024
          634 pages
          ISSN:1550-4859
          EISSN:1550-4867
          DOI:10.1145/3613571
          Issue’s Table of Contents

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          Publication History

          • Published: 13 April 2024
          • Online AM: 12 February 2024
          • Accepted: 22 January 2024
          • Revised: 31 December 2023
          • Received: 11 September 2022
          Published in tosn Volume 20, Issue 3

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