• DocumentCode
    2714500
  • Title

    A Generic Platform for Efficient Processing of Spatial Monitoring Queries in Mobile Peer-to-Peer Networks

  • Author

    Galdames, Patricio ; Kim, Kihwan ; Cai, Ying

  • Author_Institution
    Dept. of Comput. Sci., Iowa State Univ., Ames, IA, USA
  • fYear
    2010
  • fDate
    23-26 May 2010
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    A spatial monitoring query (SMQ) retrieves the set of mobile nodes that satisfy some spatial constraints, and provides real-time updates whenever this set of nodes changes. Efficient processing of such queries is essential to moving objects database management. Existing techniques rely on one or more central servers for query management and assume each mobile node can communicate with some server directly. These limitations prevent them from being used in application scenarios where no such server exists. This paper assumes a mobile peer-to-peer system where mobile nodes are the only computing devices, and investigates the challenges of allowing mobile nodes to collaborate in query processing. We present a cost-effective technique to process a primitive type of SMQs and then show that other types of queries can be converted into the primitive type of queries. As such, different types of queries can now be supported within a common platform and without relying on any stationary server. We also evaluate, through both mathematical analysis and simulation, the performance of the proposed platform in terms of mobile communication costs incurred in query processing.
  • Keywords
    Analytical models; Collaboration; Mathematical analysis; Mobile communication; Mobile computing; Monitoring; Network servers; Peer to peer computing; Query processing; Spatial databases; Mobile Peer-to-Peer Networks; Moving Objects Databases; Spatial Monitoring Queries;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Data Management (MDM), 2010 Eleventh International Conference on
  • Conference_Location
    Kansas City, MO, USA
  • Print_ISBN
    978-1-4244-7075-4
  • Type

    conf

  • DOI
    10.1109/MDM.2010.11
  • Filename
    5489795