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Performance of low level protocols in high traffic wireless body sensor networks

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Abstract

The rapid development of medical sensors has increased the interest in Wireless Body Area Network (WBAN) applications where physiological data from the human body and its environment is gathered, monitored, and analyzed to take the proper measures. In WBANs, it is essential to design MAC protocols that ensure adequate performance and Quality of Service (QoS). This paper investigates Medium Access Control (MAC) protocols used in WBAN, and compares their performance in a high traffic environment with respect to different QoS and network performance metrics. Such scenario can be induced in case of emergency for example, where physiological data collected from all sensors on human body should be sent simultaneously to take appropriate action. This study can also be extended to cover collaborative WBAN systems where information from different bodies is sent simultaneously leading to high traffic. OPNET simulations are performed to compare the performance of the different MAC protocols under the same experimental conditions. A new MAC scheme aiming to enhance the delay, throughput, and energy performance of the system is then proposed and compared to existing protocols, to evaluate its performance in high traffic environment.

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References

  1. Access technologies (fdma, tdma, cdma). http://www.itu.int/osg/spuold/ni/3G/technology/index.html

  2. Network simulation chapter 2: Opnet – a tool for discrete event simulation (des). http://www.hs-owl.de/fb5/cds/downloads/cds/SS08/CDS_08_32.pdf

  3. Riverbed modeler. http://www.riverbed.com/gb/products/steelcentral/steelcentral-riverbed-modeler.html http://www.riverbed.com/gb/products/steelcentral/steelcentral-riverbed-modeler.html

  4. Abtahi A, Valaee S, Tabiani M (2000) Comparison of cdma and tdma in awgn channels. Scientia Iranica 7(3&4):197–204

    MATH  Google Scholar 

  5. Akbar MS, Yu H, Cang S (2017) Ieee 802.15. 4 frame aggregation enhancement to provide high performance in life-critical patient monitoring systems. Sensors 17(2):241

    Article  Google Scholar 

  6. Ashjad S, Afrah F (2019) Overview of energy efficient mac protocols for wireless body area networks (wban). Int J Adv Res Comput Eng Tech (IJARCET), 8

  7. Awad A, Sommer C, German R, Dressler F (2008) Virtual cord protocol (vcp): a flexible dht-like routing service for sensor networks. In: 5th IEEE international conference on mobile ad hoc and sensor systems, 2008. MASS 2008. IEEE, pp 133–142

  8. Bagad VS (2007) Telecommunication systems technical publications

  9. Bahi JM, Guyeux C, Makhoul A, Pham C (2012) Low cost monitoring and intruders detection using wireless video sensor networks. Int J Distributed Sensor Networks ID 929542:11

    Google Scholar 

  10. Barua M, Alam MS, Liang X, Shen X (2011) Secure and quality of service assurance scheduling scheme for wban with application to ehealth. In: IEEE wireless communications and networking conference. IEEE, p 2011

  11. Benvenuto N, Zorzi M (2011) Principles of communications. Networks and Systems. Wiley Online Library

  12. Bhandari S, Moh S (2016) A priority-based adaptive mac protocol for wireless body area networks. Sensors 16(3):401

    Article  Google Scholar 

  13. Boudargham N, Abdo J, Demerjian J, Guyeus C, Makhoul A (2016) Investigating low level protocols for wireless body sensor networks. In: 3rd ACS/IEEE international conference on computer systems and applications. IEEE

  14. Boudargham N, Abdo JB, Demerjian J, Guyeux C, Atechian T (2018) Efficient cluster-based routing algorithm for body sensor networks. In: IEEE Middle East and North Africa communications conference (MENACOMM). IEEE, p 2018

  15. Boudargham N, Abdo JB, Demerjian J, Guyeux C, Makhoul A (2018) Collaborative body sensor networks: taxonomy and open challenges. In: 2018 IEEE Middle East and North Africa communications conference (MENACOMM). IEEE, pp 1–6

  16. Busch C, Magdon-Ismail M, Sivrikaya F, Yener B (2004) Contention-free mac protocols for wireless sensor networks. In: Distributed computing. Springer, pp 245–259

  17. Demirkol I, Ersoy C, Alagoz F, et al. (2006) Mac protocols for wireless sensor networks: a survey. IEEE Commun Magazine 44(4):115–121

    Article  Google Scholar 

  18. Elghers S, Makhoul A, Laiymani D (2014) Local emergency detection approach for saving energy in wireless body sensor networks. In: IEEE 10th international conference on wireless and mobile computing, networking and communications (WiMob). IEEE, p 2014

  19. Escribano F (2015) Medium Access Techniques

  20. Fazel K, Kaiser S (2008) Multi-carrier and spread spectrum systems: from OFMD and MC-CDMA to LTE and wiMAX. Wiley, New York

    Book  Google Scholar 

  21. Filipe L, Fdez-Riverola F, Costa N, Pereira A (2015) Wireless body area networks for healthcare applications: protocol stack review. Int J Distributed Sensor Netw 2015:1

    Article  Google Scholar 

  22. Fortino G, Galzarano S, Gravina R, Li W (2015) A framework for collaborative computing and multi-sensor data fusion in body sensor networks. Inf Fusion 22:50–70

    Article  Google Scholar 

  23. Gopalan SA, Kim D-H, Nah J-W, Park J-T (2010) A survey on power-efficient mac protocols for wireless body area networks. In: 2010 3rd IEEE international conference on broadband network and multimedia technology (IC-BNMT). IEEE, pp 1230–1234

  24. Gopalan SA, Park J-T (2010) Energy-efficient mac protocols for wireless body area networks: survey. In: 2010 international congress on ultra modern telecommunications and control systems and workshops (ICUMT). IEEE, pp 739–744

  25. Gupta A, Saha S, Adhikary S (2016) Delay-sensitive remote health framework for secured wban using sensor virtualization. Applications and Innovations in Mobile Computing (AIMoc)

  26. Guyeux C, Makhoul A, Atoui I, Tawbe S, Bahi JM (2015) A complete security framework for wireless sensor networks: theory and practice. Int J Inf Technol Web Eng (IJITWE) 10(1):47–74

    Article  Google Scholar 

  27. Habib C, Makhoul A, Darazi R, Salim C (2016) Self-adaptive data collection and fusion for health monitoring based on body sensor networks. IEEE Transactions on Industrial Informatics

  28. IEEE (2016) Adaptive sampling algorithms with local emergency detection for energy saving in Wireless Body Sensor Networks

  29. Javaid N, Israr I, Khan MA, Javaid A, Bouk SH, Khan ZA (2013) Analyzing medium access techniques in wireless body area networks. arXiv:1304.1047

  30. Jiang T, Song L, Zhang Y (2010) Orthogonal frequency division multiple access fundamentals and applications. CRC Press, Boca Raton

    Book  Google Scholar 

  31. Jovanovic MD, Djordjevic GL (2014) Reduced-frame tdma protocols for wireless sensor networks. Int J Commun Sys 27(10):1857–1873

    Article  Google Scholar 

  32. Khan JY, Yuce MR, Bulger G, Harding B (2012) Wireless body area network (wban) design techniques and performance evaluation. J Med Sys 36(3):1441–1457

    Article  Google Scholar 

  33. Kim B, Cho J (2012) A novel priority-based channel access algorithm for contention-based mac protocol in wbans. In: Proceedings of the 6th international conference on ubiquitous information management and communication. ACM, p 1

  34. Lai X, Liu Q, Wei X, Wang W, Zhou G, Han G (2013) A survey of body sensor networks. Sensors 13(5):5406–5447

    Article  Google Scholar 

  35. Liu B, Yan Z, Chen CW (2017) Medium access control for wireless body area networks with qos provisioning and energy efficient design. IEEE Trans Mobile Comput 16(2):422– 434

    Article  Google Scholar 

  36. Ma L, Leung H, Li D (2014) Hybrid tdma/cdma mac protocol for wireless sensor networks. J Netw 9 (10):2665–2673

    Google Scholar 

  37. Movassaghi S, Abolhasan M, Lipman J, Smith D, Jamalipour A (2014) Wireless body area networks: a survey. Communications Surveys & Tutorials, IEEE 16(3):1658–1686

    Article  Google Scholar 

  38. Pourmohseni B, Eshghi M (2013) Reliable energy-efficient dynamic-tdma mac protocol for wireless body area networks. Int J Appl Innov Eng Manag (IJAIEM) 2:393–402

    Google Scholar 

  39. Qi Z, Yi-Xin Y (2016) Study on wban-based efficient and energy-saving access mechanisms. Optimization 11(6)

  40. Rahim A, Javaid N, Aslam M, Rahman Z, Qasim U, Khan ZA (2012) A Comprehensive survey of mac protocols for wireless body area networks. In: 2012 seventh international conference on broadband, wireless computing, communication and applications (BWCCA). IEEE, p 2012

  41. Rom R, Sidi M (2012) Multiple access protocols: performance and analysis. Springer, Berlin

    MATH  Google Scholar 

  42. Shakir M, Rehman OU, Rahim M, Alrajeh N, Khan ZA, Khan MA, Niaz IA, Javaid N (2016) Performance optimization of priority assisted csma/ca mechanism of 802.15. 6 under saturation regime. Sensors 16 (9):1421

    Article  Google Scholar 

  43. Singal TL (2010) Wireless communications. Tata McGraw-Hill Education

  44. styKaur S, Mahajan L (2011) Power saving mac protocols for wsns and optimization of s-mac protocol. International Journal of Radio Frequency Identification & Wireless Sensor Networks 1(1):1–8

    Google Scholar 

  45. Tawfiq A (2012) Orthogonal Codes for CDMA-based Asynchronous Medical Wireless Body Area Networks (WBANs). PhD thesis

  46. Ullah S, Chen M, Kwak KS (2012) Throughput and delay analysis of ieee 802.15. 6-based csma/ca protocol. J Med Sys 36(6):3875–3891

    Article  Google Scholar 

  47. Ullah S, Shen B, Islam SMR, Khan P, Saleem S, Kwak KS (2009) A study of mac protocols for wbans. Sensors 10(1):128–145

    Article  Google Scholar 

  48. Yuan D, Zheng G, Ma H, Shang J, Li J (2019) An adaptive mac protocol based on ieee802. 15.6 for wireless body area networks. Wireless Commun Mobile Comput, 2019

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Authors and Affiliations

  1. Faculty of Engineering, Notre Dame University, Deir El Kamar, Lebanon

    Nadine Boudargham

  2. Faculty of Natural and Applied Sciences, Notre Dame University, Deir El Kamar, Lebanon

    Jacques Bou Abdo

  3. LaRRIS, Faculty of Sciences, Lebanese University, Fanar, Lebanon

    Jacques Demerjian

  4. FEMTO-ST Institute/CNRS, University Bourgogne Franche-Comté, Belfort, France

    Christophe Guyeux & Abdallah Makhoul

Authors
  1. Nadine Boudargham
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  2. Jacques Bou Abdo
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  3. Jacques Demerjian
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  4. Christophe Guyeux
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  5. Abdallah Makhoul
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Corresponding author

Correspondence to Jacques Bou Abdo.

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This work was supported by the EIPHI Graduate School (contract “ANR-17-EURE-0002”), the Hubert Curien CEDRE Program (n40283YK), and the Lebanese University Research Program (Number: 4/6132).

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Boudargham, N., Bou Abdo, J., Demerjian, J. et al. Performance of low level protocols in high traffic wireless body sensor networks. Peer-to-Peer Netw. Appl. 13, 850–871 (2020). https://doi.org/10.1007/s12083-019-00840-1

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  • DOI: https://doi.org/10.1007/s12083-019-00840-1

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