skip to main content
10.1145/2068897.2068938acmconferencesArticle/Chapter ViewAbstractPublication PagesmswimConference Proceedingsconference-collections
research-article

Adaptive real-time query scheduling for wireless sensor networks

Published:31 October 2011Publication History

ABSTRACT

With the recent evolution of high data rates in real-time sensor network applications, there is always an increasing demand for high performance query services in such networks. To meet this demand, we propose an adaptive approach for scheduling real-time query transmissions in wireless sensor networks (WSNs). Our purpose is to schedule multiple real-time queries efficiently by maximizing the overall network throughput while meeting the queries' deadlines. The proposed scheduler allows multiple conflict-free queries to execute concurrently in order to achieve maximum throughput, besides the scheduler works preemptively to satisfy the real-time queries' deadline constrains. The simulation results showed that our proposed scheduler can be adopted to effectively increase network throughput and eliminate query prioritization inversion.

References

  1. Lorincz, K., Malan, D. J., Fulford-Jones, T. R. F., Nawoj, A., Clavel, A., Shnayder, V., Mainland, G., Welsh, M., and Moulton, S. 2004.. Sensor networks for emergency response: Challenges and opportunities. IEEE Pervasive Computing, vol. 3(4): pp.16--23. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Mangharam, R., Rowe, A., Suzuki, R., and Rajkumar, R. 2006. Voice over sensor networks. In RTSS 06. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Lynch, J. P. and Loh, K. J. 2006. A Summary Review of Wireless Sensors and Sensor Networks for Structural Health Monitoring. The Shock and Vibration Digest, 38(2):91--128.Google ScholarGoogle ScholarCross RefCross Ref
  4. Madden, S., Franklin, M. J., Hellerstein, J. M., and Hong, W. 2005. Tinydb: an acquisitional query processing system for sensor networks. ACM Trans. Database Syst., vol. 30(1): pp. 122--173. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Yao, Y. and Gehrke,, J. 2003. Query processing in sensor networks. In proceedings of CIDR.Google ScholarGoogle Scholar
  6. Cao, Q., Abdelzaher, T. F., He, T., and Stankovic, J. A. 2005. Towards optimal sleep scheduling in sensor networks for rare-event detection. In proceedings IPSN. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Hohlt, B., Doherty, L., and Brewer, E. A., 2004. Flexible power scheduling for sensor networks. In proceedings IPSN. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Sadagopan, G. Lu, N., Krishnamachari, B., and Goel, A. 2005. Delay efficient sleep scheduling in wireless sensor networks. In proceedings of IEEE INFOCOM.Google ScholarGoogle Scholar
  9. Sichitiu, M. L. 2004. Cross-layer scheduling for power efficiency in wireless sensor networks. In proceedings of IEEE INFOCOM.Google ScholarGoogle ScholarCross RefCross Ref
  10. Wu, H., Luo, Q., and Xue, W. 2006. Distributed cross-layer scheduling for in-network sensor query processing. In PerCom. IEEE Computer Society, pp. 180--189. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Cidon, I. and Sidi, M. 1989. Distributed assignment algorithms for multihop packet radio networks. IEEE Transactions on Computer., vol. 38, no. 10. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Ephremides, A. and Truong, T. 1990. Scheduling broadcasts in multihop radio networks. IEEE Transactions on Communications, vol. 38, no. 4.Google ScholarGoogle ScholarCross RefCross Ref
  13. Ramaswami, R. and Parhi, K. K. 1989. Distributed scheduling of broadcasts in a radio network,. In proceedings of IEEE INFOCOM.Google ScholarGoogle Scholar
  14. Arikan, E. 1983. Some complexity results about packet radio networks. NASA STI/Recon Technical Report, vol. 83.Google ScholarGoogle Scholar
  15. Rajendran, V., Obraczka, K., and Garcia-Luna-Aceves, J. J. 2003. Energyefficient collision-free medium access control for wireless sensor networks. In proceedings of SenSys. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Bao, L. and Garcia-Luna-Aceves, J. J. 2001. A new approach to channel access scheduling for ad hoc networks. In proceedings of MobiCom. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Chipara, O., Lu C., and Stankovich, J. A. 2006. Dynamic conflict free query scheduling for wireless sensor networks. In proceedings of ICNP. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Chipara, O., Lu, C., and Roman G-C, 2007. Real-time query scheduling for wireless sensor networks. In proceedings of 28th IEEE International Real-Time Systems Symposium. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Madden, S., Franklin, M. J., Hellerstein, J. M., and Hong TAG, W. 2002. A tiny aggregation service for ad-hoc sensor networks. In proceedings of OSDI. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Zhou, G., He, T., Stankovic, J. A., and Abdelzaher, T. F. 2005. RID: radio interference detection in wireless sensor networks. In proceedings of IEEE INFOCOM.Google ScholarGoogle Scholar

Index Terms

  1. Adaptive real-time query scheduling for wireless sensor networks

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          MSWiM '11: Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
          October 2011
          462 pages
          ISBN:9781450308984
          DOI:10.1145/2068897

          Copyright © 2011 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 31 October 2011

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article

          Acceptance Rates

          Overall Acceptance Rate398of1,577submissions,25%

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader