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Mobile Information Systems
Volume 2017, Article ID 7892545, 16 pages
https://doi.org/10.1155/2017/7892545
Research Article

Two-Tier VoI Prioritization System on Requirement-Based Data Streaming toward IoT

Graduate School of Information Science and Technology, Osaka University, Osaka, Japan

Correspondence should be addressed to Sunyanan Choochotkaew; pj.ca.u-akaso.tsi@hc-aynus

Received 5 March 2017; Revised 27 June 2017; Accepted 2 July 2017; Published 20 August 2017

Academic Editor: Laurence T. Yang

Copyright © 2017 Sunyanan Choochotkaew et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. D. Puccinelli and M. Haenggi, “Wireless sensor networks: applications and challenges of ubiquitous sensing,” IEEE Circuits and Systems Magazine, vol. 5, no. 3, pp. 19–31, 2005. View at Publisher · View at Google Scholar · View at Scopus
  2. R. K. Pragnya and J. K. Chaitanya, “Wireless sensor network based healthcare monitoring system for homely elders,” International Journal of Advances in Engineering & Technology, vol. 6, no. 5, pp. 2078–2083, 2013. View at Google Scholar
  3. N. K. Suryadevara and S. C. Mukhopadhyay, “Wireless sensor network based home monitoring system for wellness determination of elderly,” IEEE Sensors Journal, vol. 12, no. 6, pp. 1965–1972, 2012. View at Publisher · View at Google Scholar · View at Scopus
  4. G. Virone, A. Wood, L. Selavo et al., “An assisted living oriented information system based on a residential wireless sensor network,” in Proceedings of the 1st Transdisciplinary Conference on Distributed Diagnosis and Home Healthcare (D2H2 '06), pp. 2–4, Arlington, Tex, USA, April 2006. View at Publisher · View at Google Scholar · View at Scopus
  5. OECD, “Smart sensor networks: technologies and applications for green growth,” OECD Digital Economy Papers 167, OECD Publishing, Paris, France, 2009. View at Publisher · View at Google Scholar
  6. Y. Zhang, R. Yu, S. Xie, W. Yao, Y. Xiao, and M. Guizani, “Home M2M networks: architectures, standards, and QoS improvement,” IEEE Communications Magazine, vol. 49, no. 4, pp. 44–52, 2011. View at Publisher · View at Google Scholar · View at Scopus
  7. S. Suthaharan, “Big data classification: problems and challenges in network intrusion prediction with machine learning,” ACM SIGMETRICS Performance Evaluation Review, vol. 41, no. 4, pp. 70–73, 2014. View at Publisher · View at Google Scholar · View at Scopus
  8. K. Yoi, H. Yamaguchi, A. Hiromori et al., “Multi-dimensional sensor data aggregator for adaptive network management in M2M communications,” in Proceedings of the 14th IFIP/IEEE International Symposium on Integrated Network Management (IM '15), pp. 1047–1052, Ottawa, Canada, May 2015. View at Publisher · View at Google Scholar · View at Scopus
  9. J. N. Bagale, A. Shiyanbola, J. P. T. Moore, and A. D. Kheirkhahzadeh, “Towards a real-time data sharing system for mobile devices,” in Proceedings of the 8th International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST '14), pp. 147–152, Oxford, UK, September 2014. View at Publisher · View at Google Scholar · View at Scopus
  10. Q. Ni, L. Romdhani, and T. Turletti, “A survey of QoS enhancements for IEEE 802.11 wireless LAN,” Wireless Communications and Mobile Computing, vol. 4, no. 5, pp. 547–566, 2004. View at Publisher · View at Google Scholar · View at Scopus
  11. Y. Sun, T.-Y. Wu, G. Zhao, and M. Guizani, “Efficient rule engine for smart building systems,” IEEE Transactions on Computers, vol. 64, no. 6, pp. 1658–1669, 2015. View at Publisher · View at Google Scholar · View at MathSciNet
  12. D. Estrin, R. Govindan, J. Heidemann, and S. Kumar, “Next century challenges: scalable coordination in sensor networks,” in Proceedings of the 5th Annual International Conference on Mobile Computing and Networks (MobiCom '99), pp. 263–270, Seattle, DC, USA, 1999. View at Publisher · View at Google Scholar
  13. U. Hunkeler, H. L. Truong, and A. Stanford-Clark, “MQTT-S—a publish/subscribe protocol for wireless sensor networks,” in Proceedings of the 3rd IEEE/Create-Net International Conference on Communication Systems Software and Middleware and Workshops (COMSWARE '08), pp. 791–798, Bangalore, India, January 2008. View at Publisher · View at Google Scholar · View at Scopus
  14. F. Naumann and K.-U. Sattler, Information quality: Fundamentals, techniques, and use, Tutorial at EDBT, 2006 https://pdfs.semanticscholar.org/2434/ed992d6e62b2c3865ab275f02dfbb0fb17c7.pdf.
  15. C. Bisdikian, L. M. Kaplan, and M. B. Srivastava, “On the quality and value of information in sensor networks,” ACM Transactions on Sensor Networks, vol. 9, no. 4, article 48, 2013. View at Publisher · View at Google Scholar · View at Scopus
  16. S. R. Madden, M. J. Franklin, J. M. Hellerstein, and W. Hong, “TinyDB: an acquisitional query processing system for sensor networks,” ACM Transactions on Database Systems, vol. 30, no. 1, pp. 122–173, 2005. View at Publisher · View at Google Scholar · View at Scopus
  17. Q. Xiang, X. Chen, L. Kong, L. Rao, and X. Liu, “Data preference matters: a new perspective of safety data dissemination in vehicular ad hoc networks,” in Proceedings of the 34th IEEE Annual Conference on Computer Communications and Networks (IEEE INFOCOM '15), pp. 1149–1157, Kowloon, Hang Kong, May 2015. View at Publisher · View at Google Scholar · View at Scopus
  18. C.-J. M. Liang, K. Chen, N. B. Priyantha, J. Liu, and F. Zhao, “RushNet: practical traffic prioritization for saturated wireless sensor networks,” in Proceedings of the 12th ACM Conference on Embedded Networked Sensor Systems (SenSys '14), pp. 105–118, Memphis, Tenn, USA, November 2014. View at Publisher · View at Google Scholar · View at Scopus
  19. Y. Xu, X. Chen, A. Liu, and C. Hu, “A latency and coverage optimized data collection scheme for smart cities based on vehicular ad-hoc networks,” Sensors, vol. 17, no. 4, article 888, 2017. View at Publisher · View at Google Scholar
  20. Great Britain and Department for Communities and Local Government, Multi-Criteria Analysis: A Manual, Communities and Local Government, London, UK, 2009.
  21. H. Maleki, “Comparison of the REMBRANDT system with the Wang and Elhag approach: a practical example of the rank reversal problem,” African Journal of Business Management, vol. 6, no. 1, 2012. View at Google Scholar
  22. D. L. Olson, G. Fliedner, and K. Currie, “Comparison of the REMBRANDT system with analytic hierarchy process,” European Journal of Operational Research, vol. 82, no. 3, pp. 522–539, 1995. View at Publisher · View at Google Scholar · View at Scopus
  23. F. Lootsma, “The REMBRANDT system for multi-criteria decision analysis via pairwise comparisons or direct rating,” Tech. Rep., Faculty of Technical Mathematics and Informatics, Delft University, Delft, Netherlands, 1992. View at Google Scholar
  24. M. B. Barfod and S. Leleur, “Scaling transformation in the rembrandt technique: examination of the progression factors,” International Journal of Information Technology and Decision Making, vol. 12, no. 5, pp. 887–903, 2013. View at Publisher · View at Google Scholar · View at Scopus
  25. G. Tychogiorgos and C. Bisdikian, “Selecting relevant sensor providers for meeting ‘your’ quality information needs,” in Proceedings of the 12th IEEE International Conference on Mobile Data Management (MDM '11), pp. 200–205, Lulea, Sweden, June 2011. View at Publisher · View at Google Scholar · View at Scopus
  26. G. Tychogiorgos and C. Bisdikian, “A framework for managing the selection of spatiotemporally relevant information providers,” in Proceedings of the 2013 IFIP/IEEE International Symposium on Integrated Network Management (IM '13), pp. 403–410, Ghent, Belgium, May 2013. View at Scopus
  27. D. Gross, J. F. Shortle, and J. M. Thompson, Fundamentals of Queueing Theory, John Wiley & Sons, Hoboken, NJ, USA, 4th edition, 2008. View at Publisher · View at Google Scholar · View at MathSciNet