• DocumentCode
    2564435
  • Title

    MPIDA: A Sensor Network Topology Inference Algorithm

  • Author

    Zhao, Tao ; Cai, Wandong ; Li, Yongjun

  • fYear
    2007
  • fDate
    15-19 Dec. 2007
  • Firstpage
    451
  • Lastpage
    455
  • Abstract
    Knowledge of sensor network topology is useful for understanding the structure of the sensor network, and it also plays an important role in resource management and deployment. Additionally, it is a major component of sensor network tomography techniques. Considering sensor network characteristics, we propose a topology inference algorithm based on end-to-end measurement in this paper. Especifically, we consider the case of inferring sensor network topology during the aggregation of the data from a collection of sensor nodes to a sink node. The simulation shows that the proposed approach can discover the sensor network topology accurately and quickly, and scale to the large networks. Keywords: Sensor network, network tomography, topology inference, data aggregation, sensor network tomography
  • Keywords
    Computational intelligence; Inference algorithms; Intelligent sensors; Maximum likelihood estimation; Measurement; Network topology; Propagation losses; Sensor phenomena and characterization; Tomography; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2007 International Conference on
  • Conference_Location
    Harbin, China
  • Print_ISBN
    0-7695-3072-9
  • Electronic_ISBN
    978-0-7695-3072-7
  • Type

    conf

  • DOI
    10.1109/CIS.2007.44
  • Filename
    4415384