Journal of Computing Science and Engineering

Korean Institute of Information Scientists and Engineers (한국정보과학회)
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Machine-to-Machine Communications for Healthcare

  • Chen, Kwang-Cheng (Graduate Institute of Communication Engineering, and Intel-NTU CCC Center, National Taiwan University)
  • Received : 2011.08.10
  • Accepted : 2012.05.03
  • Published : 2012.06.30
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Abstract

Machine-to-machine communications for healthcare is emerging for the benefit of humans. In addition to novel medium access, we provide a systematic view to look for ways to develop technology to accomplish this goal, and a thorough vision toward effective system and network design.

Keywords

References

  1. G. Wu, S. Talwar, K. Johnsson, N. Himayat, and K. D. Johnson, "M2M: from mobile to embedded internet," IEEE Communications Magazine, vol. 49, no. 4, pp. 36-43, 2011.
  2. S. Y. Lien, K. C. Chen, and Y. Lin, "Toward ubiquitous massive accesses in 3GPP machine-to-machine communications," IEEE Communications Magazine, vol. 49, no. 4, pp. 66-74, 2011.
  3. E. A. Lee, "Cyber physical systems: design challenges," Proceedings of the 11th IEEE Symposium on Object Oriented Real-Time Distributed Computing, Orlando, FL, 2008, pp. 363-369.
  4. R. Rajkumar, I. Lee, L. Sha, and J. Stankovic, "Cyber-physical systems: the next computing revolution," Proceedings of the 47th Design Automation Conference, Anaheim, CA, 2010, pp. 731-736.
  5. L. Atzori, A. Iera, and G. Morabito, "The internet of things: a survey," Computer Networks, vol. 54, no. 15, pp. 2787-2805, 2010. https://doi.org/10.1016/j.comnet.2010.05.010
  6. M. Kranz, P. Holleis, and A. Schmidt, "Embedded interaction: interacting with the internet of things," IEEE Internet Computing, vol. 14, no. 2, pp. 46-53, 2010. https://doi.org/10.1109/MIC.2009.141
  7. H. Alemdar and C. Ersoy, "Wireless sensor networks for healthcare: a survey," Computer Networks, vol. 54, no. 15, pp. 2688-2710, 2010. https://doi.org/10.1016/j.comnet.2010.05.003
  8. A. Pentland, "healthwear: medical technology becomes wearable," Computer, vol. 37, no. 5, pp. 42-49, 2004.
  9. E. Wade and H. Asada, "Conductive fabric garment for a cable-free body area network," IEEE Pervasive Computing, vol. 6, no. 1, pp. 52-58, 2007.
  10. J. M. Corchado, J. Bajo, D. I. Tapia, and A. Abraham, "Using heterogeneous wireless sensor networks in a telemonitoring system for healthcare," IEEE Transactions on Information Technology in Biomedicine, vol. 14, no. 2, pp. 234-240, 2010. https://doi.org/10.1109/TITB.2009.2034369
  11. J. Misic and V. Misic, "Bridging between IEEE 802.15.4 and IEEE 802.11b networks for multiparameter healthcare sensing," IEEE Journal on Selected Areas in Communications, vol. 27, no. 4, pp. 435-449, 2009. https://doi.org/10.1109/JSAC.2009.090508
  12. F. Chiti, R. Fantacci, F. Archetti, E. Messina, and D. Toscani, "An integrated communications framework for context aware continuous monitoring with body sensor networks," IEEE Journal on Selected Areas in Communications, vol. 27, no. 4, pp. 379-386, 2009. https://doi.org/10.1109/JSAC.2009.090503
  13. T. Taleb, D. Bottazzi, M. Guizani, and H. Nait-Charif, "ANGELAH: a framework for assisting elders at home," IEEE Journal on Selected Areas in Communications, vol. 27, no. 4, pp. 480-494, 2009. https://doi.org/10.1109/JSAC.2009.090511
  14. C. Otto, A. Milenkovic, C. Sanders, and E. Javanov, "System architecture of a wireless body area sensor network for ubiquitous health monitoring," Journal of Mobile Multimedia, vol. 1, no. 4, pp. 307-326, 2005.
  15. N. Katayama, K, Takizawa, T. Aoyagi, J. I. Takada, H. B. Li, and R. Kohno, "Channel model on various frequency bands for wearable body area network," IEICE Transactions on Communications, vol. E92-B, no. 2, pp. 418-424, 2009. https://doi.org/10.1587/transcom.E92.B.418
  16. D. Niyato, E. Hossain, and S. Camorlinga, "Remote patient monitoring service using heterogeneous wireless access networks: architecture and optimization," IEEE Journal on Selected Areas in Communications, vol. 27, no. 4, pp. 412-423, 2009. https://doi.org/10.1109/JSAC.2009.090506
  17. K. C. Chen and R. Prasad, Cognitive Radio Networks, Chichester, UK: Wiley, 2009.
  18. Y. C. Liang, K. C. Chen, G. Y. Li, and P. Mahonen, "Cognitive radio networking and communications: an overview," IEEE Transactions on Vehicular Technology, vol. 60, no. 7, pp. 3386-3407, 2011. https://doi.org/10.1109/TVT.2011.2158673
  19. S. M. Cheng, S. Y. Lien, F. S. Chu, and K. C. Chen, "On exploiting cognitive radio to mitigate interference in macro/ femto heterogeneous networks," IEEE Wireless Communications, vol. 18, no. 3, pp. 40-47, 2011.
  20. K. C. Chen, "Medium access control of wireless LANs for mobile computing," IEEE Network, vol. 8, no. 5, pp. 50-63, 1994. https://doi.org/10.1109/65.313014
  21. Y. K. Sun, K. C. Chen, and D. C. Twu, "Generalized tree multiple access protocols in packet switching networks," The 8th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Helsinki, Finland, 1997, pp. 918-922.
  22. Y. K. Sun and K. C. Chen, "Energy-efficient multiple access protocol design," IEEE Communications Letters, vol. 2, no. 12, pp. 334-336, 1998. https://doi.org/10.1109/4234.736176
  23. R. G. Gallager, "A perspective on multi-access channels," IEEE Transactions on Information Theory, vol. 31, no. 2, pp. 124-142, 1985. https://doi.org/10.1109/TIT.1985.1057022
  24. A Bolis, D. Smith, D. Miniutti, L. Libman, and Y. Tselishchev, "Challenges in body area networks for healthcare: the MAC," IEEE Communications Magazine, vol. 50, no. 5, pp. 100-106, 2012.
  25. M. Mesbahi and M. Egerstedt, Graph Theoretic Methods in Multiagent Networks, Princeton, NJ: Princeton University Press, 2010.
  26. H. Su and X. Zhang, "Battery-dynamics driven TDMA MAC protocols for wireless body-area monitoring networks in healthcare applications," IEEE Journal on Selected Areas in Communications, vol. 27, no. 4, pp. 424-434, 2009. https://doi.org/10.1109/JSAC.2009.090507
  27. F. Hu, Y. Xiao, and Q. Hao, "Congestion-aware, lossresilient bio-monitoring sensor networking for mobile health applications," IEEE Journal on Selected Areas in Communications, vol. 27, no. 4, pp. 450-465, 2009. https://doi.org/10.1109/JSAC.2009.090509
  28. N. Xiong, A. V. Vasilakos, L. T. Yang, L. Song, Y. Pan, R. Kannan, and Y. Li, "Comparative analysis of quality of service and memory usage for adaptive failure detectors in healthcare systems," IEEE Journal on Selected Areas in Communications, vol. 27, no. 4, pp. 495-509, 2009. https://doi.org/10.1109/JSAC.2009.090512
  29. B. Otal, L. Alonso, and C. Verikoukis, "Highly reliable energy-saving MAC for wireless body sensor networks in healthcare systems," IEEE Journal on Selected Areas in Communications, vol. 27, no. 4, pp. 553-565, 2009. https://doi.org/10.1109/JSAC.2009.090516
  30. F. S. Chu, K. C. Chen, and C. M. Cheng, "Toward green cloud computing," Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication, Seoul, Korea, 2011, article no. 31.
  31. X. Lin, R. Lu, X. Shen, Y. Nemoto, and N. Kato, "SAGE: a strong privacy-preserving scheme against global eavesdropping for ehealth systems," IEEE Journal on Selected Areas in Communications, vol. 27, no. 4, pp. 365-378, 2009. https://doi.org/10.1109/JSAC.2009.090502
  32. R. Lu, X. Lin, and X. Shen, "SPOC: a secure and privacypreserving opportunistic computing framework for mobilehealthcare emergency," IEEE Transactions on Parallel and Distributed Systems, 2012. Early access article.

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