• DocumentCode
    170617
  • Title

    Improved structures for data collection in wireless sensor networks

  • Author

    Crowcroft, Jon ; Segal, Michael ; Levin, L.

  • Author_Institution
    Comput. Lab., Cambridge Univ., Cambridge, UK
  • fYear
    2014
  • fDate
    April 27 2014-May 2 2014
  • Firstpage
    1375
  • Lastpage
    1383
  • Abstract
    In this paper we consider the problem of efficient data gathering in sensor networks for arbitrary sensor node deployments. The efficiency of the solution is measured by a number of criteria: total energy consumption, total transport capacity, latency and quality of the transmissions. We present a number of different constructions with various tradeoffs between aforementioned parameters. We provide theoretical performance analysis for our approaches, present their distributed implementation and discuss the different aspects of using each. We show that in many cases our output-sensitive approximation solution performs better than the currently known best results for sensor networks. Our simulation results validate the theoretical findings.
  • Keywords
    approximation theory; data communication; energy consumption; wireless sensor networks; arbitrary sensor node deployments; data collection; data gathering; energy consumption; output-sensitive approximation solution; theoretical performance analysis; transmission quality; transport capacity; wireless sensor networks; Approximation methods; Base stations; Computers; Conferences; Data collection; Energy consumption; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM, 2014 Proceedings IEEE
  • Conference_Location
    Toronto, ON
  • Type

    conf

  • DOI
    10.1109/INFOCOM.2014.6848071
  • Filename
    6848071