Towards Self-Healing in Wireless Sensor Networks

Author

Bourdenas, Themistoklis ; Sloman, Morris

Author_Institution

Dept. of Comput., Imperial Coll. London, London, UK

fYear

2009

fDate

3-5 June 2009

Firstpage

15

Lastpage

20

Abstract

Faults in WSN are very common and appear in different levels of the system. For pervasive applications to be adopted by end-users there is a need for autonomic self-healing. This paper discusses our initial approach to self-healing in WSN and describes experiments with two case studies of body sensor deployment. We evaluate the impact of sensor faults on activity and gesture classification accuracy respectively and develop mechanisms that will allow detection of those faults during systempsilas operation.

Keywords

fault tolerance; telecommunication network reliability; wireless sensor networks; WSN; autonomic self healing; body sensor deployment; fault detection; gesture classification accuracy; wireless sensor network; Application software; Body sensor networks; Chemical sensors; Computer networks; Condition monitoring; Fault detection; Redundancy; Sensor fusion; Sensor phenomena and characterization; Wireless sensor networks; fault-detection; feature-coordination; self-healing;

fLanguage

English

Publisher

ieee

Conference_Titel

Wearable and Implantable Body Sensor Networks, 2009. BSN 2009. Sixth International Workshop on

Conference_Location

Berkeley, CA

Print_ISBN

978-0-7695-3644-6

Type

conf

DOI

10.1109/BSN.2009.14

Filename

5226922