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Performance exploration of on-body WBAN using CM3A-IEEE 802.15.6 channel model

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Abstract

Wireless Body Area Network (WBAN) is an upcoming technology for comprehending effective healthcare. In order to enhance the enactment of the WBAN system, performance evaluation under diverse working scenarios is important. This paper proposes a novel approach to explore the performance of a WBAN operating at the IEEE 802.15.6 standard. The investigation has been performed for non-cooperative and cooperative scenarios. IEEE 802.15.6 CM3A path loss modelling has been implemented to formulate and further evaluate link quality metrics like: Signal to Noise Ratio (SNR) and Bit Error Rate (BER). Energy consumption and throughput have been analyzed. Critical comparative analysis has been performed for three IEEE 802.15.6 narrow bands: W-ISM (Worldwide Industrial, Scientific and Medical band)-(2.4 GHz), U-ISM (US-Industrial, Scientific and Medical band)-(902–928MHz) and WMTS (Wireless Mobile Telemetry Services band)-(420–450 MHz). From the scrutiny of simulation results, it is observed that comparative energy consumptionis lowest in WMTS and U-ISM band wrt distance and antenna gain respectively in non-cooperative as well as cooperative scenarios. Link quality evaluation reveals that the U-ISM band exhibits better performance as it offers highest SNR and lowest BER for the considered scenarios. W-ISM exhibits the highest throughput compared to U-ISM and WMTS. Cooperative communication offers better link quality and throughput compared to non-cooperative scenario. The evaluation results aid a WBAN implementer to choose a preferable and permissible frequency band as per design requirements.

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References

  • Abbasi UF, Awang A, Hamid NH (2013) Performance investigation of opportunistic routing using log-normal and ieee 802.15.6 cm3aa path loss models in wbans. In: 2013 IEEE 11th Malaysia international conference on communications (MICC), Kuala Lumpur, pp 325–329

  • Ahmad M, Jabbar S, Ahmad A, Piccialli F, Jeon G (2018) A sustainable solution to support data security in high bandwidth health care remote locations by using tcp cubic mechanism. IEEE Trans Sustain Comput. https://doi.org/10.1109/TSUSC.2018.2841998

    Article  Google Scholar 

  • Ahmed S, Javaid N, Yousaf S, Ahmad A, Sandhu MM, Imran M, Khan ZA, Alrajeh N (2015) Co-laeeba: cooperative link aware and energy efficient protocol for wireless body area networks. Comput Hum Behav 51:1205–1215

    Article  Google Scholar 

  • Arrobo GE, Gitlin RD (2011) Improving the link quality of wireless body area networks. In: 2011 annual international conference of the IEEE engineering in medicine and biology society, Boston, pp 2192–2195

  • Ayaz M, Ammad-uddin M, Baig I, Aggoune EM (2018) Wireless sensor’s civil applications, prototypes, and future integration possibilities: a review. IEEE Sens J 18(1):4–30

    Article  Google Scholar 

  • Bellipady SR, Shetty SM, Airbail H (2019) Quality of information analysis in WSN: an application in BASN. J Ambient Intell Human Comput. https://doi.org/10.1007/s12652-019-01362-7

    Article  Google Scholar 

  • Cui S, Goldsmith AJ, Bahai A (2005) Energy-constrained modulation optimization. IEEE Trans Wirel Commun 4(5):2349–2360

    Article  Google Scholar 

  • Fernandes D, Ferreira AG, Abrishambaf R, Mendes J, Cabral J (2018) A low traffic overhead transmission power control for wireless body area networks. IEEE Sens J 18(3):1301–1313

    Article  Google Scholar 

  • He Min ZG, Wu Z, Lü L, Zhou Z, Anisetti M, Damiani E (2019) A polling access control with exhaustive service in wireless body area networks for mobile healthcare using the sleeping schema. J Ambient Intell Humaniz Comput 10(10):3761–3774

    Article  Google Scholar 

  • Javaid N, Ahmad A, Rahim A, Khan ZA, Ishfaq M, Qasim U (2014) Adaptive medium access control protocol for wireless body area networks. Int J Distrib Sens Netw 10(3):254397

    Article  Google Scholar 

  • Li B, Wang W, Yin Q, Yang R, Li Y, Wang C (2012) A new cooperative transmission metric in wireless sensor networks to minimize energy consumption per unit transmit distance. IEEE Commun Lett 16(5):626–629

    Article  Google Scholar 

  • Liu X, Du W (2016) Ber-based comparison between af and df in three-terminal relay cooperative communication with BPSK modulation. In: 2016 12th international conference on mobile ad-hoc and sensor networks (MSN), Hefei, pp 296–300

  • Naganawa JI, Wangchuk K, Kim M, Aoyagi T, Takada JI (2015) Simulation-based scenario-specific channel modeling for wban cooperative transmission schemes. IEEE J Biomed Health Inf 19(2):559–570

    Article  Google Scholar 

  • Peng Y, Peng L (2016) A cooperative transmission strategy for body-area networks in healthcare systems. IEEE Access 4:9155–9162

    Article  Google Scholar 

  • Proakis JG, Salehi M (2014) Digital communications, 5th edn. McGraw Hill Education, New York

    Google Scholar 

  • Qidwai Uvais, Chaudhry J, Jabbar S, Zeeshan HMA, Janjua N, Khalid S (2019) Using casual reasoning for anomaly detection among ecg live data streams in ubiquitous healthcare monitoring systems. J Ambient Intell Humaniz Comput 10(10):4085–4097

    Article  Google Scholar 

  • Rakhee Srinivas MB (2016) A soft computing approach for data routing in hospital area networks (HAN). Int J Bus Data Commun Netw (IJBDCN) 12:2

    Google Scholar 

  • Rakhee Ohri K, Saraswathi RV, Vinita LJ (2019) Performance analysis of wireless body area sensor analytics using clustering technique. In: 2019 international conference on communication and signal processing (ICCSP). Chennai, India, pp 0278–0281

  • Rêgo CF, Bezerra RR, Afonseca UR, Bordim JL (2016) Cooperative communication models towards energy balance in WSN. In: 2016 XLII Latin American computing conference (CLEI), Valparaiso, pp 1–9

  • Yazdandoost, Yekeh K (2008) Channel model for body area network (ban). In: IEEE802.15-07-0943-00-0ban, pp 1549–1552

  • Ye J, Lei H, Liu Y, Pan G, Costa DB, Ni Q, Ding Z (2017) Cooperative communications with wireless energy harvesting over nakagami-\(m\) fading channels. IEEE Trans Commun 65(12):5149–5164

    Article  Google Scholar 

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Authors and Affiliations

  1. Amity School of Engineering and Technology, Noida, India

    Sindhu Hak Gupta & Niveditha Devarajan

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  1. Sindhu Hak Gupta
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  2. Niveditha Devarajan
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Correspondence to Sindhu Hak Gupta.

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Gupta, S.H., Devarajan, N. Performance exploration of on-body WBAN using CM3A-IEEE 802.15.6 channel model. J Ambient Intell Human Comput 14, 5761–5772 (2023). https://doi.org/10.1007/s12652-019-01663-x

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