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Reliability of Wireless Body Area Networks

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Advances in Reliability and Maintainability Methods and Engineering Applications

Part of the book series: Springer Series in Reliability Engineering ((RELIABILITY))

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Abstract

A wireless body area network (WBAN) is a network of low-power devices including smart sensors situated in, on, or around the human body to monitor the physiological and motion information for healthcare, military, sports, security, firefighting, as well as other applications and purposes. Reliability is one of the major changes to address for delivering the desired quality of services of WBANs. In this chapter, a critical review of WBAN reliability-related literature is conducted, covering reliability modeling, analysis, and designs. A reliability model is also presented for WBANs subject to the probabilistic function dependence and associated probabilistic isolation and competing behaviors. The model is demonstrated through a case study on the reliability analysis of a WBAN patient monitoring system.

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References

  1. Ramli SN, Ahmad R (2011) Surveying the wireless body area network in the realm of wireless communication. In: 2011 7th international conference on information assurance and security (IAS). IEEE, Melacca, Malaysia, pp 58–61

    Google Scholar 

  2. Jovanov E (2006) Wireless technology and system integration in body area networks for m-health applications. In: 2005 IEEE engineering in medicine and biology 27th annual conference. IEEE, Shanghai, China, pp 7158–7160

    Google Scholar 

  3. Fu Y, Ayyagari D, Colquitt N (2009) Pulmonary disease management system with distributed wearable sensors. In: 2009 annual international conference of the IEEE engineering in medicine and biology society. IEEE, USA, pp 773–776

    Google Scholar 

  4. Hall D, Llinas J (1998) From GI Joe to starship trooper: the evolution of information support for individual soldiers. In: ISCAS'98. Proceedings of the 1998 IEEE international symposium on circuits and systems (Cat. No. 98CH36187), vol 6, pp 541–544. IEEE, Monterey, CA, USA

    Google Scholar 

  5. Thakre L, Patil N, Kapse P, Potbhare P (2022) Implementation of soldier tracking and health monitoring system. In: 2022 10th international conference on emerging trends in engineering and technology-signal and information processing (ICETET-SIP-22). IEEE, Nagpur, India, pp 1–5

    Google Scholar 

  6. Ma X, Rupp E, Ryan A, Semper C, Thompson A, Zhang L (2014) Realtime physiological performance monitoring to prevent fatigue in special forces soldiers. In: 2014 40th annual northeast bioengineering conference (NEBEC). IEEE, Boston, MA, USA, pp 1–2

    Google Scholar 

  7. Hasan K, Biswas K, Ahmed K, Nafi NS, Islam MS (2019) A comprehensive review of wireless body area network. J Netw Comput Appl 143:178–198

    Article  Google Scholar 

  8. Shokeen S, Parkash D (2019) A systematic review of wireless body area network. In: 2019 international conference on automation, computational and technology management (ICACTM). IEEE, London, UK, pp 58–62

    Google Scholar 

  9. Arefin MT, Ali MH, Haque AF (2017) Wireless body area network: an overview and various applications. J Comput Commun 5(7):53–64

    Article  Google Scholar 

  10. Singh S, Prasad D (2022) Wireless body area network (WBAN): a review of schemes and protocols. Mater Today Proc 49:3488–3496

    Article  Google Scholar 

  11. Al Barazanchi I, Hashim W, Alkahtani AA, Abbas HH, Abdulshaheed HR (2021) Overview of WBAN from literature survey to application implementation. In: 2021 8th international conference on electrical engineering, computer science and informatics (EECSI). IEEE, Semarang, Indonesia, pp 16–21

    Google Scholar 

  12. Gao GP, Yang C, Hu B, Zhang RF, Wang SF (2018) A wearable PIFA with an all-textile metasurface for 5 GHz WBAN applications. IEEE Antennas Wirel Propag Lett 18(2):288–292

    Article  Google Scholar 

  13. El Atrash M, Abdalla MA, Elhennawy HM (2019) A wearable dual-band low profile high gain low SAR antenna AMC-backed for WBAN applications. IEEE Trans Antennas Propag 67(10):6378–6388

    Article  Google Scholar 

  14. Dasgupta A, Mennemanteuil MM, Buret M, Cazier N, Colas-des-Francs G, Bouhelier A (2018) Optical wireless link between a nanoscale antenna and a transducing rectenna. Nat Commun 9(1):1–7

    Article  Google Scholar 

  15. Grover K, Lim A, Yang Q (2014) Jamming and anti-jamming techniques in wireless networks: a survey. Int J Ad Hoc Ubiquitous Comput 17(4):197–215

    Article  Google Scholar 

  16. Wang Y, **ng L, Wang H, Levitin G (2015) Combinatorial analysis of body sensor networks subject to probabilistic competing failures. Reliab Eng Syst Saf 142:388–398

    Article  Google Scholar 

  17. **ng L, Levitin G, Wang C (2019) Dynamic system reliability: modeling and analysis of dynamic and dependent behaviors. Wiley, Hoboken, NJ

    Book  MATH  Google Scholar 

  18. **ng L, Morrissette BA, Dugan JB (2014) Combinatorial reliability analysis of imperfect coverage systems subject to functional dependence. IEEE Trans Reliab 63(1):367–382

    Article  Google Scholar 

  19. Wang Y, **ng L, Wang H, Coit DW (2017) System reliability modeling considering correlated probabilistic competing failures. IEEE Trans Reliab 67(2):416–431

    Article  Google Scholar 

  20. Wang Y, **ng L, Levitin G, Huang N (2018) Probabilistic competing failure analysis in phased-mission systems. Reliab Eng Syst Saf 176:37–51

    Article  Google Scholar 

  21. Zhao G, **ng L (2021) Reliability analysis of body sensor networks subject to random isolation time. Reliab Eng Syst Saf 207:107345

    Article  Google Scholar 

  22. **ng L, Zhao G, Wang Y, **ang Y (2020) Reliability modeling of correlated competitions and dependent components with random failure propagation time. Qual Reliab Eng Int 36(3):947–964

    Article  Google Scholar 

  23. Wang S, Nah JW, Seak KJ, Park JT (2009) Analytical modeling of multi-type failures in wireless body area networks. In: 2009 2nd IEEE international conference on broadband network & multimedia technology. IEEE, Bei**g, China, pp. 242–246

    Google Scholar 

  24. Divi K, Liu H (2013) Modeling of WBAN and cloud integration for secure and reliable healthcare. In Proceedings of the 8th international conference on body area networks. Boston, USA, pp 128–131

    Google Scholar 

  25. Strielkina A, Kharchenko V, Uzun D (2018) A Markov model of healthcare internet of things system considering failures of components. In: CEUR workshop proceedings. ICTERI, Kyiv, Ukraine, pp 530–543

    Google Scholar 

  26. Dehabadi MSZ, Jahed M (2017) Reliability modeling of anomaly detection algorithms for wireless body area networks. In 2017 Iranian conference on electrical engineering (ICEE). IEEE, Tehran, Iran, pp 70–75

    Google Scholar 

  27. Lomotey RK, Pry J, Sriramoju S (2017) Wearable IoT data stream traceability in a distributed health information system. Pervasive Mob Comput 40:692–707

    Article  Google Scholar 

  28. Santos GL, Gomes D, Kelner J, Sadok D, Silva FA, Endo PT, Lynn T (2020) The internet of things for healthcare: optimising e-health system availability in the fog and cloud. Int J Comput Sci Eng 21(4):615–628

    Google Scholar 

  29. Troesch F, Steiner C, Zasowski T, Burger T, Wittneben A (2007) Hardware aware optimization of an ultra low power UWB communication system. In: 2007 IEEE international conference on ultra-wideband. IEEE, Singapore, pp 174–179

    Google Scholar 

  30. Masroor K, Jeoti V, Drieberg M (2018) Improving the energy efficiency of a wireless body area network using a redundant coordinator for healthcare applications. In: 2018 international conference on intelligent and advanced system (ICIAS). IEEE, Lumpur, Malaysia, pp 1–5

    Google Scholar 

  31. Awad M, Sallabi F, Shuaib K, Naeem F (2022) Artificial intelligence-based fault prediction framework for WBAN. J King Saud Univ-Comput Inform Sci 34(9):7126–7137

    Google Scholar 

  32. Arora N, Gupta SH, Kumar B (2022) Analyzing the best location for the central node placement for energy efficient and reliable WBAN. In: 2022 IEEE 11th international conference on communication systems and network technologies (CSNT). IEEE, Indore, India, pp 438–444

    Google Scholar 

  33. Umare A, Ghare P (2018) Optimization of routing algorithm for WBAN using genetic approach. In: 2018 9th international conference on computing, communication and networking technologies (ICCCNT). IEEE, Bengalura, India, pp 1–6

    Google Scholar 

  34. Mehmood G, Khan MZ, Abbas S, Faisal M, Rahman HU (2020) An energy-efficient and cooperative fault-tolerant communication approach for wireless body area network. IEEE Access 8:69134–69147

    Article  Google Scholar 

  35. Salayma M, Al-Dubai A, Romdhani I, Nasser Y (2017) New dynamic, reliable and energy efficient scheduling for wireless body area networks (WBAN). In: 2017 IEEE international conference on communications (ICC). IEEE, Paris, France, pp 1–6

    Google Scholar 

  36. Xu YH, Yu G, Yong YT (2020) Deep reinforcement learning-based resource scheduling strategy for reliability-oriented wireless body area networks. IEEE Sens Lett 5(1):1–4

    Article  Google Scholar 

  37. Peng Y, Wang X, Guo L, Wang Y, Deng Q (2017) An efficient network coding-based fault-tolerant mechanism in WBAN for smart healthcare monitoring systems. Appl Sci 7(8):817

    Article  Google Scholar 

  38. Su X, Li C, Song Y, Yuan X (2017) WBAN on hardware: implementation and optimization based on IEEE 802.15. 6. In: 2017 international conference on computer, information and telecommunication systems (CITS). IEEE, Dalian, China, pp 147–151

    Google Scholar 

  39. Chen M, Li Z, Zhang G (2014) A cooperative software-hardware approach for wireless body area network implementation. In: The 4th annual IEEE international conference on cyber technology in automation, control and intelligent. IEEE, Hongkong, China, pp 214–218

    Google Scholar 

  40. Mathew P, Augustine L, Kushwaha D, Vivian D, Selvakumar D (2014) Hardware implementation of NB PHY baseband transceiver for IEEE 802.15. 6 WBAN. In: 2014 international conference on medical imaging, m-health and emerging communication systems (MedCom). IEEE, Greater Noida, India, pp 64–71

    Google Scholar 

  41. **ng L, Amari SV (2015) Binary decision diagrams and extensions for system reliability analysis. Wiley, Hoboken

    Book  Google Scholar 

  42. Venuto DD, Annese VF, Tommaso MD, Vecchio E, Sangiovanni Vincentelli AL (2015) Combining EEG and EMG signals in a wireless system for preventing fall in neurodegenerative diseases. In: Ambient assisted living. Springer, Cham, pp 317–327

    Google Scholar 

  43. Al Rasyid MUH, Prasetyo D, Nadhori IU, Alasiry AH (2015) Mobile monitoring of muscular strain sensor based on wireless body area network. In: 2015 international electronics symposium (IES). IEEE, Surabaya, Indonesia, pp 284–287

    Google Scholar 

  44. Koc H, Shaik SS, Madupu PP (2019) Reliability modeling and analysis for cyber physical systems. In: 2019 IEEE 9th annual computing and communication workshop and conference (CCWC). IEEE, pp 0448–0451

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Massachusetts, Dartmouth, MA, USA

    Liudong **ng

  2. School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, Sichuan, China

    Guilin Zhao

  3. Department of Electrical and Computer Engineering and Technology, Minnesota State University, Mankato, MN, USA

    Qun Zhang

Authors
  1. Liudong **ng
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  2. Guilin Zhao
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  3. Qun Zhang
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Corresponding author

Correspondence to Liudong **ng .

Editor information

Editors and Affiliations

  1. Center for System Reliability and Safety, University of Electronic Science and Technology of China, Chengdu, Sichuan, China

    Yu Liu

  2. Department of Industrial Engineering and Management, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China

    Dong Wang

  3. Center for System Reliability and Safety, University of Electronic Science and Technology of China, Chengdu, Sichuan, China

    **hua Mi

  4. Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal

    He Li

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**ng, L., Zhao, G., Zhang, Q. (2023). Reliability of Wireless Body Area Networks. In: Liu, Y., Wang, D., Mi, J., Li, H. (eds) Advances in Reliability and Maintainability Methods and Engineering Applications. Springer Series in Reliability Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-28859-3_4

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  • DOI: https://doi.org/10.1007/978-3-031-28859-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-28858-6

  • Online ISBN: 978-3-031-28859-3

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