• DocumentCode
    3139468
  • Title

    Fault Management for Self-Healing in Ubiquitous Sensor Network

  • Author

    Yoo, Giljong ; Jung, Jinsoo ; Lee, Eunseok

  • Author_Institution
    Sch. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon
  • Volume
    5
  • fYear
    2008
  • fDate
    13-15 Dec. 2008
  • Firstpage
    21
  • Lastpage
    25
  • Abstract
    This work concerns the development of a fault model of sensor for detecting and isolating sensor, actuator, and various faults in USNs (Ubiquitous Sensor Network). USN are developed to create relationships between humans, objects and computers in various fields. A management research of sensor nodes is very important because the ubiquitous sensor network has the numerous sensor nodes. However, Self-healing technologies are insufficient to restore when an error event occurs in a sensor node in a USN environment. A layered healing architecture for each node layer (3-tier) is needed, because most sensor devices have different capacities in USN. In this paper, we design a fault model and architecture of the sensor and sensor node separately for self-healing in USN. In order to evaluate our approach, we implement prototype of the USN fault management system to evaluate our approach. We compare the resource use of self-healing components in the general distributed computing (wired network) and the USN.
  • Keywords
    fault diagnosis; software architecture; ubiquitous computing; wireless sensor networks; fault management; fault model; general distributed computing; layered healing architecture; self-healing technologies; ubiquitous sensor network; Actuators; Capacitive sensors; Computer architecture; Computer errors; Computer network management; Fault detection; Humans; Isolation technology; Pervasive computing; Prototypes; Fault Management; Self-Healing; Ubiquitous Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Generation Communication and Networking Symposia, 2008. FGCNS '08. Second International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-3430-5
  • Electronic_ISBN
    978-0-7695-3546-3
  • Type

    conf

  • DOI
    10.1109/FGCNS.2008.156
  • Filename
    4813627