Data-Centricity in Wireless Sensor Networks

  • Abdul-Halim JalladEmail author
  • Tanya Vladimirova
Part of the Computer Communications and Networks book series (CCN)


Data-centricity is a feature of wireless sensor networks that distinguishes them from other wireless data networks. Establishing the data as the centre of operation in sensor networks provides better usage of the limited resources available in such networks. In addition, data-centricity matches well the nature of wireless sensor networks. This chapter reviews a number of emerging topics collectively constituting a data-centric view of wireless sensor networks. These topics include data-centric routing, data aggregation, and data-centric storage.


Sensor Network Sensor Node Wireless Sensor Network Data Packet Sink Node 
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.


  1. 1.
    George Coulouris, Jean Dollimore, and Tim Kindberg. “Mobile and Ubiquitous Computing.” In Distributed Systems: Concepts and Design book edited by George Coulouris, Jean Dollimore, and Tim Kindberg, Chapter 16, 2005.Google Scholar
  2. 2.
    Ian F. Akyildiz, Weilian Su, Yogesh Sankarasubramaniam, and Erdal Cayirci. “A survey on Sensor Networks.” IEEE Communications Magazine, 40(8):102–114, 2002.CrossRefGoogle Scholar
  3. 3.
    Deborah Estrin, Ramesh Govindan, John Heidemann, and Satish Kumar. “Next Century Challenges: Scalable Coordination in Sensor Networks.” In Proceedings of the ACM/IEEE International Conference on Mobile Computing and Networking, Seattle, Washington, USA, ACM. August, 1999, pages 263–270.Google Scholar
  4. 4.
    G. J. Pottie and W. J. Kaiser. “Wireless Integrated Network Sensors,” Communications of the ACM, 43(5):52–58, May 2000.CrossRefGoogle Scholar
  5. 5.
    Bhaskar Krishnamachari, Deborah Estrin, and Stephen Wicker. “Modelling Data-Centric Routing in Wireless Sensor Networks.” USC Computer Engineering Technical Report CENG 02–14, 2002.Google Scholar
  6. 6.
    B. Krishnamachari, D. Estrin, and S. Wicker. “The Impact of Data Aggregation in Wireless Sensor Networks.” International Workshop on Distributed Event-Based Systems, (DEBS ’02), Vienna, Austria, July 2002.Google Scholar
  7. 7.
    J. Schlesselman, G. Pardo-Castellote, and B. Farabaugh. “OMG data-distribution service (DDS): architectural update.” IEEEMilitary Communications Conference, MILCOM 2004.Google Scholar
  8. 8.
    J. A. Stankovic, T. E. Abdelzaher, C. Lu, L. Sha, and J. C. Hou. “Real-time communication and coordination in embedded sensor networks.” Proc. IEEE, 91(7):1002–1022, 2003.CrossRefGoogle Scholar
  9. 9.
    P. Eugster, P. Felber, R. Guerraoui, and A. Kermarrec. “The Many Faces of Publish/Subscribe.” ACM Computing Surveys, 35(2), 2003.Google Scholar
  10. 10.
    V. Narayanmurthy. “A Publish/Subscribe scheme for networked embedded systems.” Masters Thesis, Dept. of Computer Science, University of Iowa. August 2002.Google Scholar
  11. 11.
    G. Banavar, T. Chandra, B. Mukherjee, J. Nagarajarao, R. Strom, and D. Sturman. “An Efficient Multicast Protocol for Content-Based Publish-Subscribe Systems.” In Proceedings of the 19 th International Conference on Distributed Computing Systems, pages 262–272, 1999.Google Scholar
  12. 12.
    S. Madden, M. J. Franklin, J. M. Hellerstein, and W. Hong. “The design of an acquisitional query processor for sensor networks.” In Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, San Diego, California, June 2003, pages 491–502.Google Scholar
  13. 13.
    W. F. Fung, D. Sun, and J. Gehrke. “COUGAR: The Network is the Database.” In Proceedings of ACM SIGMOD International Conference on Management of Data, ACM Press, NY, 2002, pages 621–621.Google Scholar
  14. 14.
    Jamal N. Al-Karaki and Ahmed E. Kamal. “Routing Techniques in Sensor Networks: A survey.” IEEE communications, 11(6):6–28, December 2004.Google Scholar
  15. 15.
    S. Hedetniemi and A. Liestman. “A survey of gossiping and broadcasting in communication networks,” Networks, 18(4):319–349.Google Scholar
  16. 16.
    W. R. Heinzelman, J. Kulik, and H. Balakrishnan. “Adaptive Protocols for Information Dissemination in Wireless Sensor Networks.” Proc. ACM MobiCom ’99, Seattle, WA, 1999, pages 174–185.Google Scholar
  17. 17.
    C. Intanagonwiwat, R. Govindan, and D. Estrin. “Directed diffusion: A scalable and robust communication paradigm for sensor networks.” In Proceedings of the 6th Annual International Conference on Mobile Computing and Networking, ACM Press, NY, 2000, pages 56–67.Google Scholar
  18. 18.
    C. Intanagonwiwat, R. Govindan, D. Estrin, J. Heidemann, and F. Silva. “Directed diffusion for wireless sensor networking.” IEEE/ACM Transactions on Networking, 11(1):2–16, 2003.CrossRefGoogle Scholar
  19. 19.
    J. Heidemann, F. Silva, and D. Estrin. “Matching data dissemination algorithms to application requirements.” In Proceedings of the 1st international Conference on Embedded Networked Sensor Systems (Los Angeles, California, USA, November 05 - 07, 2003). SenSys ’03. ACM, New York, NY, pages 218–229.Google Scholar
  20. 20.
    S.R. Madden, M.J. Franklin, J.M. Hellerstein, and W. Hong. “TAG: a Tiny Agegation Service for Ad. Hoc Sensor Networks.” In Proceedings of OSDI, Boston, MA, December 2002.Google Scholar
  21. 21.
    A. Scaglione and S. D. Servetto. “On the interdependence of routing and data compression in multi-hop sensor networks.” In Proceedings of the 8th Annual ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom ’02), Atlanta, Georgia, 2002.Google Scholar
  22. 22.
    J. Chou, D. Petrovic, and K. Ramchandran. “A distributed and adaptive signal processing approach to reducing energy consumption in sensor networks.” In Proceedings of INFOCOM 2003, San Francisco, April 2003.Google Scholar
  23. 23.
    D. Petrovic, R. C. Shah, K. Ramchandran, and J. Rabaey. “Data funneling: Routing with aggregation and compression for wireless sensor networks.” In proceedings of the 1 st IEEE International workshop on Sensor Network Protocols and Applications (SNPA), Alaska, May 2003.Google Scholar
  24. 24.
    M. Rabbat and R. Nowak. “Distributed optimization in sensor networks.” In Proceedings of the 3rd International Symposium on Information Processing in Sensor Networks (IPSN), Berkeley, California, April 2004.Google Scholar
  25. 25.
    R. Kumar, M. Wolenetz, B. Agarwalla, J. Shin, P. Hutto, A. Paul, and U. Ramachandran. “DFuse: A framework for distributed data fusion.” In Proceedings of the 1st ACM Conference on Embedded Networked Sensor Systems (Sensys ’03), Los Angeles, California, November 2003.Google Scholar
  26. 26.
    A. Boulis, S. Ganeriwal, and M. B. Srivastava. “Aggregation in sensor networks: An energy-accuracy trade-off.” In Proceedings of the 1st IEEE International Workshop onSensor Network Protocols and Applications (SNPA 2003), Anchorage, Alaska, May 2003.Google Scholar
  27. 27.
    C. Schurgers, V. Tsiatsis, S. Ganeriwal, and M. Srivastava. “Optimizing sensor networks in the energy-latency-density design space.” IEEE Transactions on Mobile Computing, 1(1):70–80, January 2002.CrossRefGoogle Scholar
  28. 28.
    Y. Yu, B. Krishnamachari, and V. K. Prasanna. “Energy-latency tradeoffs for data-gathering in wireless sensor networks.” In Proceedings of INFOCOM 2004, Hong Kong, March 2004.Google Scholar
  29. 29.
    S. Ratnasamy, B. Karp, S. Shenker, D. Estrin, R. Govindan, L. Yin, and F. Yu. “Datacentric storage in sensornets with GHT, a geographic hash table.” Mobile Networks and Applications, 8(4):427–442, August 2003.CrossRefGoogle Scholar
  30. 30.
    X. Li, Y. J. Kim, R. Govindan, and W. Hong. “Multi-dimensional range queries in sensor networks.” In Proceedings of the 1st ACM Conference on Embedded Networked Sensor Systems (Sensys ’03), Los Angeles, California, November 2003.Google Scholar
  31. 31.
    Y. C. Tseng, S. L. Wu, W. H. Liao, and C. M. Chao. “Location Awareness in Ad Hoc Wireless Mobile Networks.” IEEE Computer, 34(6):46–52, June 2001.Google Scholar
  32. 32.
    M. Yarvis, N. Kashalnagar, H. Singh, A. Rangarajan, Y. Liu, and S. Singh. “Exploiting Heterogeneity is sensor networks.” IEEE proceedings of INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies, 2005.Google Scholar
  33. 33.
    T. Vladimirova , C. P. Bridges, G. Prassinos, X. Wu, K. Sidibeh, D. J. Barnhart, A. Jallad, J. R. Paul, V. Lappas, A. Baker, K. Maynard, and R. Magness. “Characterising Wireless Sensor Motes for Space Applications,” in 2nd NASA/ESA Conference on Adaptive Hardware and Systems (AHS), 2007.Google Scholar
  34. 34.
    A.-H. Jallad, “Space-Based Wireless Sensor Networks”, PhD Thesis, Surrey Space Centre, Department of Electronic Engineering, University of Surrey, October 2008.Google Scholar

Copyright information

© Springer-Verlag London Limited 2009

Authors and Affiliations

  1. 1.Surrey Space Centre, Department of Electronic EngineeringUniversity of SurreyGuildfordUK

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