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
Link To Document :
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