Smart Structures and Systems

  • 제21권2호
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  • Pages.225-234
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  • 2018
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Schedule communication routing approach to maximize energy efficiency in wireless body sensor networks

  • Kaebeh, Yaeghoobi S.B. (Faculty of Engineering and Technology, Manav Rachna International University) ;
  • Soni, M.K. (Faculty of Engineering and Technology, Manav Rachna International University) ;
  • Tyagi, S.S. (Faculty of Engineering and Technology, Manav Rachna International University)
  • 투고 : 2017.04.03
  • 심사 : 2018.01.18
  • 발행 : 2018.02.25
⟨ 이전 논문 다음 논문 ⟩

초록

E-Health allows you to supersede the central patient wireless healthcare system. Wireless Body Sensor Network (WBSN) is the first phase of the e-Health system. In this paper, we aim to understand e-Health architecture and configuration, and attempt to minimize energy consumption and latency in transmission routing protocols during restrictive latency in data delivery of WBSN phase. The goal is to concentrate on polling protocol to improve and optimize the routing time interval and schedule communication to reduce energy utilization. In this research, two types of network models routing protocols are proposed - elemental and clustering. The elemental model improves efficiency by using a polling protocol, and the clustering model is the extension of the elemental model that Destruct Supervised Decision Tree (DSDT) algorithm has been proposed to solve the time interval conflict transmission. The simulation study verifies that the proposed models deliver better performance than the existing BSN protocol for WBSN.

키워드

참고문헌

  1. AbuKhousa, E., Mohamed, N. and Al-Jaroodi, J. (2012), "e-Health cloud: opportunities and challenges", Future Internet, 4(3), 621-645. https://doi.org/10.3390/fi4030621
  2. Antoniou, P., Pitsillides, A., Blackwell, T., Engelbrecht, A. and Michael, L. (2013), "Congestion control in wireless sensor networks based on bird flocking behavior", Comput. Netw., 57(5), 1167-1191. https://doi.org/10.1016/j.comnet.2012.12.008
  3. Burger, M., Notarstefano, G. and Allgower, F. (2014), "A polyhedral approximation framework for convex and robust distributed optimization", IEEE T Autom. Contr,., 59(2), 384-395. https://doi.org/10.1109/TAC.2013.2281883
  4. Chenji, H., Zhang, W., Stoleru, R. and Arnett, C. (2013), "DistressNet: A disaster response system providing constant availability cloud-like services", Ad Hoc Netw., 11(8), 2440-2460. https://doi.org/10.1016/j.adhoc.2013.06.008
  5. Dor, R., Hackmann, G., Yang, Z., Lu, C., Chen, Y., Kollef, M. and Bailey, T. (2012), "Experiences with an end-to-end wireless clinical monitoring system", Proceedings of the conference on Wireless Health. San Diego, California: ACM.
  6. Fayn, J. and Rubel, P. (2010), "Toward a personal health society in cardiology", T. Info. Tech. Biomed., 14(2), 401-409. https://doi.org/10.1109/TITB.2009.2037616
  7. Francis, T., Madiajagan, M. and Kumar, V. (2015), "Privacy issues and techniques in e-health systems", Proceedings of the 2015 ACM SIGMIS Conference on Computers and People Research, ACM.
  8. Gonzalez, F., Villegas, O., Ramirez, D., Sanchez, V. and Dominguez, H. (2014), "Smart multi-level tool for remote patient monitoring based on a wireless sensor network and mobile augmented reality", Sensors, 14(9), 17212-17234. https://doi.org/10.3390/s140917212
  9. Han, S., Ko, E., Yoon, H. and Yeom, I. (2010), "Providing forwarding assurance in multi-hop wireless networks", Comput. Commun., 33(3), 293-301. https://doi.org/10.1016/j.comcom.2009.09.005
  10. Jie, H., Guojian, D., Baoxian, Z. and Cheng, L. (2013), "An energy-efficient on-demand multicast routing protocol for wireless ad hoc and sensor networks", Globecom Workshops (GC Wkshps), 2013 IEEE, 9-13 Dec.
  11. Khan, J.Y., Yuce, M.R., Bulger, G. and Harding, B. (2012), "Wireless Body Area Network (WBAN) design techniques and performance evaluation", J. Medical Syst., 36(3), 1441-1457. https://doi.org/10.1007/s10916-010-9605-x
  12. Ko, J., Lim, J.H., Chen, Y., Rv, Musvaloiu-E.Z., Terzis, A., Masson, G.M., Gao, T., Destler, W., Selavo, L. and Dutton, R. P. (2010), "MEDiSN: Medical emergency detection in sensor networks", ACM T. Embed. Comput. Syst., 10(1), 1-29.
  13. Lee, S.C. and Chung, W.Y. (2014), "A robust wearable u-healthcare platform in wireless sensor network", J. Commun. Netw., 16(4), 465-474. https://doi.org/10.1109/JCN.2014.000077
  14. Lin, H.C., Li, F.J. and Wang, K.Y. (2010), "Constructing maximum-lifetime data gathering trees in sensor networks with data aggregation", Proceedings of the Communications (ICC), 2010 IEEE International Conference on, 23-27 May 2010.
  15. Mur, D.C., Perez-Costa, X., Marchenko, V. and Ribes, S. (2012), "On centralized schedulers for 802.11e WLANs distribution versus grouping of resources allocation", Wirel. Commun. Mob. Comput., 12(13), 1175-1190. https://doi.org/10.1002/wcm.1046
  16. Pawar, P., Jones, V., Beijnum, B.J.F.V. and Hermens, H. (2012), "A framework for the comparison of mobile patient monitoring systems", J. Biomed, Inform., 45(3), 544-556. https://doi.org/10.1016/j.jbi.2012.02.007
  17. Piette, J.D., Lun, K., Moura Jr, L.A., Fraser, H.S., Mechael, P.N., Powell, J. and Khoja, S.R. (2012). "Impacts of e-health on the outcomes of care in low-and middle-income countries: where do we go from here?", Bulletin of the World Health Organization, 90, 365-372. https://doi.org/10.2471/BLT.11.099069
  18. Rambim, D.A., Mzyece, M. and Djouani, K. (2011), "Enhancement of TCP in 802.11e wireless local area networks", Proceedings of the Vehicular Technology Conference (VTC Fall), IEEE, 5-8 Sept. 2011.
  19. Ranck, J. (2016), The Data Revolution: Networks, Platforms, and the Data Sciences in Health. In: (Ed., Ranck, J.) Disruptive Cooperation in Digital Health. Cham %@ 978-3-319-40980-1: Springer International Publishing.
  20. Said, O. and Tolba, A. (2012), "SEAIoT: scalable e-health architecture based on Internet of things", Int. J. Comput. Appl., 59, 44-48.
  21. Sarikaya, Y., Atalay, I.C., Gurbuz, O., Ercetin, O. and Ulusoy, A. (2012), "Estimating the channel capacity of multi-hop IEEE 802.11 wireless networks", Ad Hoc Netw., 10(6), 1058-1075. https://doi.org/10.1016/j.adhoc.2012.02.001
  22. Silva, I. and Moody, G.B. (2014), "An open-source toolbox for analysing and processing physionet databases in matlab and octave", J. Open Res. Softw.,2(1), 27.
  23. Subramanya, K., Bhat, V.V. and Kamath, S. (2013), "A wearable device for monitoring galvanic skin response to accurately predict changes in blood pressure indexes and cardiovascular dynamics", Proceedings of the India Conference (INDICON), 2013 Annual IEEE, 13-15 Dec.
  24. Tia, G., Massey, T., Selavo, L., Crawford, D., Bor-rong, C., Lorincz, K., Shnayder, V., Hauenstein, L., Dabiri, F., Jeng, J., Chanmugam, A., White, D., Sarrafzadeh, M. and Welsh, M. (2007), "The advanced health and disaster aid network: A lightweight wireless medical system for triage", IEEE T Biomed. Circuits Syst., 1, 203-216. https://doi.org/10.1109/TBCAS.2007.910901
  25. Tran, N.H., Hong, C.S. and Lee, S. (2011), "Distributed throughput-optimal scheduling framework with delay analysis in multi-hop wireless networks", Math. Comput. Model., 53(11-12), 2149-2161. https://doi.org/10.1016/j.mcm.2010.08.010
  26. Ukil, A., Bandyopadhyay, S., Sinha, A. and Pal, A. (2015), "Adaptive sensor data compression in IoT systems: Sensor data analytics based approach", Proceedings of the Acoustics, Speech and Signal Processing (ICASSP), IEEE International Conference on, 2015.
  27. Vazquez, M., Jimenez, E., Nieto, J.I., Sanchez, J.d.D., Garcia, A. and Torres, J.P. (2015), "Development of a mobile health architecture to prevent childhood obesity", Latin America Transactions, IEEE (Revista IEEE America Latina), 13(5), 1520-1527. https://doi.org/10.1109/TLA.2015.7112010
  28. Wan, C.Y., Eisenman, S.B. and Campbell, A.T. (2011), "Energy-efficient congestion detection and avoidance in sensor networks", ACM Trans. Sen. Netw., 7(4), 1-31.
  29. Wang, X. (2013), Scheduling and Congestion Control for Wireless Internet, Springer Publishing Company, Incorporated.
  30. Wei, J. (2014), "How wearables intersect with the cloud and the internet of things: Considerations for the developers of wearables", IEEE Consumer Electronics Magazine, 3(3), 53-56. https://doi.org/10.1109/MCE.2014.2317895
  31. Wood, A., Stankovic, J.A., Virone, G., Selavo, L., Zhimin, H., Qiuhua, C., Thao, D., Yafeng, W., Lei, F. and Stoleru, R. (2008), "Context-aware wireless sensor networks for assisted living and residential monitoring", Network, IEEE, 22(4), 26-33.
  32. Yuechun, C. and Ganz, A. (2004), "A mobile teletrauma system using 3G networks", IEEE T. Inform. Technol. Biomed., 8(4), 456-462. https://doi.org/10.1109/TITB.2004.837893