• DocumentCode
    2035139
  • Title

    STDCS: A Spatio-Temporal Data-Centric Storage Scheme For Real-Time Sensornet Applications

  • Author

    Aly, Mohamed ; Gopalan, Anandha ; Zhao, Jerry ; Youssef, Adel M.

  • Author_Institution
    Dept. of Comput. Sci., Pittsburgh Univ., Pittsburgh, PA
  • fYear
    2008
  • fDate
    16-20 June 2008
  • Firstpage
    377
  • Lastpage
    385
  • Abstract
    Sensor networks will shortly consist of globally deployed sensors providing real-time geo-centric information to users. Particularly, users with mobile devices will issue ad-hoc queries usually from within, or nearby, the queried area. In this paper, we propose an in- network data-centric storage (DCS) scheme, namely the spatio-temporal data-centric storage (STDCS) scheme, to efficiently answer these mobile user queries. STDCS is designed to maintain load-balancing among sensors to cope with query hotspots in the network. It is different from previous proposals in two aspects. First, it is based on the novel idea of using a temporally evolving spatial indexing scheme to balance querying load among sensors. Furthermore, STDCS uses dynamic mechanisms for query hotspot detection and decomposition. We conducted extensive simulations that showed our scheme´s superiority to both local storage and spatial indexing (the only known geo-centric storage schemes) whenever experiencing query hotspots of different sizes.
  • Keywords
    queueing theory; wireless sensor networks; ad-hoc queries; data-centric storage scheme; load-balancing; query hotspot detection; real-time sensornet applications; spatiotemporal data-centric storage scheme; Application software; Computer science; Distributed control; Indexing; Internet; Next generation networking; Proposals; Sensor phenomena and characterization; Telecommunication traffic; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor, Mesh and Ad Hoc Communications and Networks, 2008. SECON '08. 5th Annual IEEE Communications Society Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    978-1-4244-1777-3
  • Electronic_ISBN
    978-1-4244-1776-6
  • Type

    conf

  • DOI
    10.1109/SAHCN.2008.53
  • Filename
    4557776