DocumentCode :
2315211
Title :
Fault tolerance techniques for wireless ad hoc sensor networks
Author :
Koushanfar, Farinaz ; Potkonjak, Miodrag ; Sangiovanni-Vincentell, A.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
1491
Abstract :
Embedded sensor network is a system of nodes, each equipped with a certain amount of sensing, actuating, computation, communication, and storage resources. One of the key prerequisites for effective and efficient embedded sensor systems is development of low cost, low overhead, high resilient fault-tolerance techniques. Cost sensitivity implies that traditional double and triple redundancies are not adequate solutions for embedded sensor systems due to their high cost and high energy-consumption. We address the problem of embedded sensor network-fault-tolerance by proposing heterogeneous back-up scheme, where one type of resource is substituted with another. First we propose a broad spectrum of heterogeneous fault-tolerance techniques for sensor networks including the ones where communication and sensing are mutually backing up each other. Then, we focus our attention on two specific approaches where we back-up one type of sensors with another type of sensor. In the first, we assume faults that manifest through complete malfunctioning and in the second, we assume sensors where fault manifest through high level of error.
Keywords :
ad hoc networks; fault tolerant computing; redundancy; sensor fusion; complete malfunctioning; embedded sensor network; error level; fault tolerance techniques; heterogeneous back-up scheme; high energy-consumption; wireless ad hoc sensor networks; Circuit faults; Costs; Embedded computing; Fault tolerance; Fault tolerant systems; Integrated circuit reliability; Multimodal sensors; Redundancy; Sensor systems; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors, 2002. Proceedings of IEEE
Print_ISBN :
0-7803-7454-1
Type :
conf
DOI :
10.1109/ICSENS.2002.1037343
Filename :
1037343
Link To Document :
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