DocumentCode :
652287
Title :
Normal Vector Based Fault-Tolerant Event Boundary Detection in Wireless Sensor Networks
Author :
Wei Wang ; Ruihua Zhang ; Zhongwei Chen ; Lei Ju
Author_Institution :
Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
fYear :
2013
fDate :
16-18 July 2013
Firstpage :
1339
Lastpage :
1344
Abstract :
This paper presented a distributed fault-tolerant event boundary detection scheme for wireless sensor networks. In this paper, the node coordinate and its reading were mapped on a 3D mesh surface, By comparing the node normal vector got by Normal Vector Based Fault-Tolerant Event Boundary Detection (NVBD) with a predefined threshold, the event boundary nodes are found. This approach was composed of two major tasks: (1) detecting the faulty node and then replacing its detection value with its neighbors´ weighted median value, (2) computing node normal vector using its neighbors´ detection values. Then we compared it with a threshold to judge if it is a boundary node. The results of numerical simulations show that the NVBD scheme can achieve a substantial improvement on detection performance.
Keywords :
distributed processing; fault tolerant computing; mesh generation; wireless sensor networks; 3D mesh surface; NVBD; detection performance; detection value; distributed fault-tolerant event boundary detection scheme; event boundary nodes; faulty node detection; node coordinate; node normal vector; normal vector based fault-tolerant event boundary detection; weighted median value; wireless sensor networks; Detection algorithms; Fault detection; Fault tolerance; Fault tolerant systems; Fitting; Vectors; Wireless sensor networks; event boundary detection; fault tolerant; normal vector; wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Trust, Security and Privacy in Computing and Communications (TrustCom), 2013 12th IEEE International Conference on
Conference_Location :
Melbourne, VIC
Type :
conf
DOI :
10.1109/TrustCom.2013.160
Filename :
6680982
Link To Document :
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