• DocumentCode
    3293577
  • Title

    Diagnosis of sensor networks

  • Author

    Jaikaeo, Chaiporn ; Srisathapornphat, Chavalit ; Shen, Chien-Chung

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Delaware Univ., Newark, DE, USA
  • Volume
    5
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1627
  • Abstract
    As sensor nodes are embedded into physical environments and becoming integral parts of our daily lives, sensor networks will become the important nerve systems that monitor and actuate our physical environments. We define the process of monitoring the status of a sensor network and figuring out the problematic sensor nodes sensor network diagnosis. However, the high sensor node-to-manager ratio makes it extremely difficult to pay special attention to any individual node. In addition, the response implosion problem, which occurs when a high volume of incoming replies triggered by diagnosis queries cause the central diagnosing node to become a bottleneck, is one major obstacle to be overcome. We describe approaches to addressing the response implosion problem in sensor network diagnosis. We also present simulation experiments on the performance of these approaches, and discuss presentation schemes for diagnostic results
  • Keywords
    electric sensing devices; information networks; radio networks; network status monitoring; programmable general purpose computing; response implosion problem; sensor information networking architecture; sensor networks diagnosis; sensor node-to-manager ratio; sensor nodes; simulation environment; simulation experiments; wireless communication; Biomedical imaging; Biomedical monitoring; Computational modeling; Computer network management; Computerized monitoring; Humans; Image sensors; Sensor phenomena and characterization; Sensor systems; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2001. ICC 2001. IEEE International Conference on
  • Conference_Location
    Helsinki
  • Print_ISBN
    0-7803-7097-1
  • Type

    conf

  • DOI
    10.1109/ICC.2001.937195
  • Filename
    937195