Advertisement

Toward a Flexible Data Management Middleware for Wireless Sensor Networks

  • Razia Haider
  • Federica Mandreoli
  • Riccardo Martoglia
  • Simona Sassatelli
  • Paolo Tiberio
Conference paper

Abstract

In this paper we present the research activity we are carrying out in the “Mobile Semantic Self-Organizing Wireless Sensor Networks” Project at the Department of Information Engineering of the University of Modena and Reggio Emilia. In this context, the main aim of our research is to study solutions for the flexible querying of distributed data collected by heterogeneous devices providing measurement readings. To this end, we propose a middleware for wireless sensor networks which is able to autonomously configure the communication and the operations required to each device in order to reduce energy and temporal costs.

Keywords

Sensor Network Execution Plan Query Optimizer Query Processor Very Large Data Base 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E (2002) Wireless sensor networks: a survey. Comput Netw 38(4):393–422CrossRefGoogle Scholar
  2. 2.
    Yao Y, Gehrke J (2002) The cougar approach to in-network query processing in sensor networks. SIGMOD Record 31(3):9–18CrossRefGoogle Scholar
  3. 3.
    Madden S, Franklin MJ, Hellerstein JM, Hong W (2005) TinyDB: an acquisitional query processing system for sensor networks. ACM Trans Database Syst (ACM TODS) 30(1):122–173CrossRefGoogle Scholar
  4. 4.
    Gupta H, Zhu X, Xu X (2009) Deductive framework for programming sensor networks. In Proceedings of the 25th international conference on data engineering (ICDE), Shanghai, pp 281–292Google Scholar
  5. 5.
    Madden S, Franklin MJ, Hellerstein JM, Hong W (2003) The design of an acquisitional query processor for sensor networks. In Proceedings of the SIGMOD conference, ACM Press, New York, pp 491–502Google Scholar
  6. 6.
    Intanagonwiwat C, Govindan R, Estrin D, Heidemann JS, Silva F (2003) Directed diffusion for wireless sensor networking. IEEE/ACM Trans Network 11(1):2–16CrossRefGoogle Scholar
  7. 7.
    Bonfils, BJ, Bonnet P (2004) Adaptive and decentralized operator placement for in-network query processing. Telecommun Syst 26(2–4):389–409CrossRefGoogle Scholar
  8. 8.
    Hellerstein JM, Hong W, Madden S (2003) The sensor spectrum: technology, trends, and requirements. SIGMOD Record 32(4):22–27CrossRefGoogle Scholar
  9. 9.
    Deshpande A, Guestrin C, Madden S, Hellerstein JM, Hong W (2004) Model-driven data acquisition in sensor networks. In Proceedings of the 30th International Conference on Very Large Data Bases (VLDB), Toronto, pp 588–599Google Scholar
  10. 10.
    Deshpande A, Guestrin C, Madden S (2005) Using probabilistic models for data management in acquisitional environments. In Proceedings of the 2nd Biennial Conference on Innovative Data Systems Research (CIDR), Asilomar, pp 317–328Google Scholar
  11. 11.
    Chu D, Deshpande A, Hellerstein JM, Hong W (2006) Approximate data collection in sensor networks using probabilistic models. In Proceedings of the 22nd international conference on data engineering (ICDE), Atlanta, pp 48–59Google Scholar
  12. 12.
    Cheng R, Prabhakar S (2003) Managing uncertainty in sensor database. SIGMOD Record 32(4):41–46CrossRefGoogle Scholar
  13. 13.
    Diao Y, Li B, Liu A, Peng L, Sutton C, Tran T, Zink M (2009) Capturing data uncertainty in high-volume stream processing. In Proceedings of the 4th biennial conference on innovative data systems research (CIDR), AsilomarGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Razia Haider
    • 1
  • Federica Mandreoli
    • 1
    • 2
  • Riccardo Martoglia
    • 1
  • Simona Sassatelli
    • 1
  • Paolo Tiberio
    • 1
  1. 1.University of Modena and Reggio Emilia, DIIModenaItaly
  2. 2.BO/CNR, IEIITBolognaItaly

Personalised recommendations