• DocumentCode
    2976834
  • Title

    A simulation system for modeling and analysis of large scale sensor networks

  • Author

    Hu, Yupeng ; Lin, Yaping ; Liu, Yonghe ; Li, Xiaolong ; Lin, Mu

  • Author_Institution
    Hunan Univ., Changsha
  • fYear
    2007
  • fDate
    10-13 Dec. 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Research in wireless sensor networks often involves simulation systems as a large number of sensor nodes always are unavailable so far, and the operation of them is expensive as well. Unfortunately, the widely used simulators do not scale for sensor networks with 2000 nodes or less. In this paper, we propose a scalable simulation system VWSN (virtual wireless sensor network), to meet the needs of large scale sensor networks simulation. VWSN can diminish memory consumption when maintaining quite simulation precision based on different virtual node modes. It also can dramatically decrease the interference computation complexity from O(N2) to approximate linearity by using the filtering square to get the set of nodes affected by the transmission quickly. As a result, VWSN is able to scale much better for sensor networks under the same conditions. Analytical and simulation results show that VWSN decrease the memory usage and save the runtime of simulations significantly.
  • Keywords
    approximation theory; communication complexity; filtering theory; wireless sensor networks; filtering square; interference computation complexity; linearity approximation; memory consumption; simulation system; virtual wireless sensor network; Analytical models; Computational modeling; Filtering; Interference; Large-scale systems; Linear approximation; Linearity; Runtime; Sensor systems; Wireless sensor networks; Filtering Square; Large Scale Network Scenario Simulation; Virtual Node; Wireless Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communications & Signal Processing, 2007 6th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-0982-2
  • Electronic_ISBN
    978-1-4244-0983-9
  • Type

    conf

  • DOI
    10.1109/ICICS.2007.4449856
  • Filename
    4449856