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An approach to investigate the best location for the central node placement for energy efficient WBAN

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Abstract

WBAN has been gaining wide interest as it enables continuous and real-time monitoring of applications like healthcare, sports, entertainment and military. IEEE 802.15.6 is the IEEE WBAN standard supporting low power wireless communication in and around the human body. On-body WBAN comprises of several nodes deployed on the human body to measure various physiological data and further forward it to the central node. For efficient working of WBAN, the central node which may act as the gateway is preferably placed on the body itself. In this work for the considered scenarios best location for the central node is computed using Reflection Coefficient (S11) of an antenna positioned on the body and IEEE 802.15.6 CM3A path loss model between the communicating nodes. Considering a steady position of the body in the laboratory, computations have been carried out by using a standard λ/4 microstrip monopole patch ultra-wideband antenna attached with a vector network analyzer (VNA). Various parameters are evaluated from the measured data and compared to investigate the effect of different node positions on WBAN performance and hence explore best suitable location for the central node.

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References

  • Anand J, Sethi D (2017) Comparative analysis of energy-efficient routing in WBAN. In: 2017 IEEE 3rd international conference on computational intelligence & communication technology (CICT), pp 1–6

  • Balanis CA (2016) Antenna theory: analysis and design. Wiley, New York

    Google Scholar 

  • Cao H, Leung V, Chow C, Chan H (2009) Enabling technologies for wireless body area networks: a survey and outlook. IEEE Commun Mag 17(12):84–93

    Article  Google Scholar 

  • Chen DR, Chiu WM (2018) Collaborative link-aware protocols for energy-efficient and QoS wireless body area networks using integrated sensors. IEEE Internet Things J 5:132–149

    Article  Google Scholar 

  • Chen M, Gonzalez S, Vasilakos A, Cao H, Leung VC (2011) Body area networks: a survey. Mob Netw Appl 16(2):171–193

    Article  Google Scholar 

  • Chowdhury HR, Hassan MS, Ahmed A (2016) Analysis of path loss characteristics in body area network for different physical structures. In: 2016 IEEE 9th international conference on electrical and computer engineering (ICECE), pp 299–302

  • Hayajneh T, Almashaqbeh G, Ullah S, Vasilakos AV (2014) A survey of wireless technologies coexistence in WBAN: analysis and open research issues. Wirel Netw 20(8):2165–2199

    Article  Google Scholar 

  • Ilyas M, Bayat O, Abbasi QH (2018) Experimental analysis of ultra-wideband in vivo radio channel. In: 2018 IEEE 26th signal processing and communications applications conference (SIU), pp 1–4

  • Islam MN, Khan J, Yuce MR (2013) A MAC protocol for implanted devices communication in the MICS band. In: 2013 IEEE international conference on body sensor networks, Cambridge, MA, USA, pp 1–6

  • Januszkiewicz L, Di Barba P, Hausman S (2018) Multi-objective optimization of a wireless body area network for varying body positions. Sensors. https://doi.org/10.3390/s18103406

    Article  Google Scholar 

  • Karakus C, CaferGurbuz A, Tavli B (2013) Analysis of energy efficiency of compressive sensing in wireless sensor networks. IEEE Sens J 13(5):1999–2008

    Article  Google Scholar 

  • Khanna A, Chaudhary V, Gupta SH (2018) Design and analysis of energy efficient wireless body area network (WBAN) for health monitoring. In: Gavrilova ML, Tan CJK (eds) Transactions on computational science XXXIII. Springer, Berlin, pp 25–39

    Chapter  Google Scholar 

  • Latré B, Braem B, Moerman I, Blondia C, Demeester P (2011) A survey on wireless body area networks. Wirel Netw 17(1):1–18

    Article  Google Scholar 

  • Liu B, Yan Z, Chen CW (2013) MAC protocol in wireless body area networks for e-health: challenges and a context-aware design. IEEE Wirel Commun Mag 20:64–72

    Article  Google Scholar 

  • Lo G, González-Valenzuela S, Leung VC (2013) Wireless body area network node localization using small-scale spatial information. IEEE J Biomed Health Inform 17(3):715–726

    Article  Google Scholar 

  • Movassaghi S, Abolhasan M, Lipman J, Smith D, Jamalipour A (2014) Wireless body area networks: a survey. IEEE Commun Surv Tutor 16:1658–1686

    Article  Google Scholar 

  • Ragesh G, Kaliaperumal B (2012) A survey on futuristic health care system, WBANs. Proc Eng 30:889–896. https://doi.org/10.1016/j.proeng.2012.01.942

    Article  Google Scholar 

  • Rasheed MB, Javaid N, Imran M, Khan ZA, Qasim U, Vasilakos A (2017) Delay and energy consumption analysis of priority guaranteed MAC protocol for wireless body area networks. Wirel Netw 23(4):1249–1266

    Article  Google Scholar 

  • Razavi A, Jahed M (2017) Node positioning and lifetime optimization for wireless body area networks. IEEE Sens J 17(14):4647–4660

    Article  Google Scholar 

  • Rosu M, Pasca S (2018) WBAN based long term ECG monitoring. In: Information Resources Management Association (ed) Wearable technologies: concepts, methodologies, tools, and applications. IGI Global, Hershey, pp 952–971

    Chapter  Google Scholar 

  • Sabti HA, Thiel DV (2014) Node position effect on link reliability for body centric wireless network running applications. IEEE Sens J 14(8):2687–2691

    Article  Google Scholar 

  • Salayma M, Al-Dubai A, Romdhani I, Nasser Y (2017) Wireless body area network (WBAN): a survey on reliability, fault tolerance, and technologies coexistence. ACM Comput Surv (CSUR) 50(1):3

    Google Scholar 

  • Salayma M, Al-Dubai A, Romdhani I, Nasser Y (2018) Reliability and energy efficiency enhancement for emergency-aware wireless body area networks (WBANs). IEEE Trans Green Commun Netw 2:804–816

    Article  Google Scholar 

  • Sipal V, Gaetano D, McEvoy P, Ammann MJ (2014) Impact of hub location on the performance of wireless body area networks for fitness applications. IEEE Antennas Wirel Propag Lett 14:1522–1525

    Article  Google Scholar 

  • Srinidhi C, Mangala CN (2016) A survey on emerging research trends towards congestion control issues of wireless body area networks (WBANs). Int J Comput Appl 975:8887

    Google Scholar 

  • Talha S, Ahmad R, Kiani AK, Alam MM (2017) Network coding for energy efficient transmission in wireless body area networks. Proc Comput Sci 113:435–440

    Article  Google Scholar 

  • Teawchim S, Promwong S (2016) Experimental evaluation of UWB human body transmission model for WBAN. In: 2016 IEEE 13th international conference on electrical engineering, electronics, computer, telecommunications and information technology (ECTI-CON), pp 1–5

  • Thourn K, Aoyagi T, Takada J (2016) Analysis of on-body communication channels with consideration of wave absorbers emulating free space. In: 2016 IEEE URSI Asia-Pacific radio science conference (URSI AP-RASC), pp 1383–1386

  • Tuovinen T, Kumpuniemi T, Yazdandoost KY, Hämäläinen M, Iinatti J (2013) Effect of the antenna-human body distance on the antenna matching in UWB WBAN applications. In: 2013 IEEE 7th international symposium on medical information and communication technology (ISMICT), pp 193–197

  • ul Huque MTI, Munasinghe KS, Jamalipour A (2014) Body node coordinator placement algorithms for wireless body area networks. IEEE Internet Things J 2(1):94–102

    Article  Google Scholar 

  • Ullah S, Mohaisen M, Alnuem MA (2013) A review of IEEE 802.15.6 MAC, PHY and security specifications. Int J Distrib Sens Netw 9(4):950704

    Article  Google Scholar 

  • Yang Y, Zheng X, Guo W, Liu X, Chang V (2018) Privacy-preserving fusion of IoT and big data for e-health. Future Gener Comput Syst 86:1437–1455

    Article  Google Scholar 

  • Yang Y, Zheng X, Guo W, Liu X, Chang V (2019) Privacy-preserving smart IoT-based healthcare big data storage and self-adaptive access control system. Inf Sci 479:567–592

    Article  Google Scholar 

  • Yong F, Zhaoyuan L, Zhou W, Yanzan S, Jiecheng D (2014) Sink node placement strategy for wireless body area networks. In: 2014 IEEE 12th international conference on signal processing (ICSP), pp 2247–2250

  • Zafar MJ, Razzaqi AA, Mustaqim M, Khawaja BA (2014) UWB wearable antenna for next-generation wireless body area networks (WBANs). In: 17th IEEE international multi-topic conference, pp 78–82

  • Zang W, Zhang S, Li Y (2016) An accelerometer-assisted transmission power control solution for energy-efficient communications in WBAN. IEEE J Sel Areas Commun 34(12):3427–3437

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Electronics and Telecommunications, Amity University, Noida, India

    Neha Arora

  2. Department of Electronics and Communications, Amity University, Noida, India

    Sindhu Hak Gupta

  3. Department of Electronics and Communications Engineering, MNNIT, Allahabad, India

    Basant Kumar

Authors
  1. Neha Arora
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  2. Sindhu Hak Gupta
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  3. Basant Kumar
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Correspondence to Neha Arora.

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Arora, N., Gupta, S.H. & Kumar, B. An approach to investigate the best location for the central node placement for energy efficient WBAN. J Ambient Intell Human Comput 14, 5789–5800 (2023). https://doi.org/10.1007/s12652-020-01847-w

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  • DOI: https://doi.org/10.1007/s12652-020-01847-w

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