Sensors 2010, 10(3), 2332-2347; doi:10.3390/s100302332
Article

An Adaptive Fault-Tolerant Event Detection Scheme for Wireless Sensor Networks

email and * email
Received: 20 January 2010; in revised form: 25 February 2010 / Accepted: 10 March 2010 / Published: 19 March 2010
(This article belongs to the Section Physical Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: In this paper, we present an adaptive fault-tolerant event detection scheme for wireless sensor networks. Each sensor node detects an event locally in a distributed manner by using the sensor readings of its neighboring nodes. Confidence levels of sensor nodes are used to dynamically adjust the threshold for decision making, resulting in consistent performance even with increasing number of faulty nodes. In addition, the scheme employs a moving average filter to tolerate most transient faults in sensor readings, reducing the effective fault probability. Only three bits of data are exchanged to reduce the communication overhead in detecting events. Simulation results show that event detection accuracy and false alarm rate are kept very high and low, respectively, even in the case where 50% of the sensor nodes are faulty.
Keywords: sensor networks; fault tolerance; event detection; adaptive
PDF Full-text Download PDF Full-Text [576 KB, uploaded 21 June 2014 02:57 CEST]

Export to BibTeX |
EndNote


MDPI and ACS Style

Yim, S.-J.; Choi, Y.-H. An Adaptive Fault-Tolerant Event Detection Scheme for Wireless Sensor Networks. Sensors 2010, 10, 2332-2347.

AMA Style

Yim S-J, Choi Y-H. An Adaptive Fault-Tolerant Event Detection Scheme for Wireless Sensor Networks. Sensors. 2010; 10(3):2332-2347.

Chicago/Turabian Style

Yim, Sung-Jib; Choi, Yoon-Hwa. 2010. "An Adaptive Fault-Tolerant Event Detection Scheme for Wireless Sensor Networks." Sensors 10, no. 3: 2332-2347.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert