Efficient Fault-Tolerant Event Query Algorithm in Distributed Wireless Sensor Networks

Author

Zhu, Rongbo

Source

International Journal of Distributed Sensor Networks

Issue

Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2010-06-30

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Telecommunications Engineering
Information Technology and Computer Science

Abstract EN

To overcome the faulty data query problem to improve the accuracy of data query, an efficient fault-tolerant event query algorithm (FTEQ) is proposed, which takes the short-term and long-term spatial and temporal similarities between sensors and environment into considerations.

An imprecise and missing data correction algorithm based on Kalman filter is proposed to correct fault sensing data, and a score rank algorithm also is proposed to assign each sensor an appropriate value to reflect the importance of sensors.

FTEQ performs self-evaluation and cooperative evaluation schemes with its trustful r neighbor nodes to filter fault data query with the importance of sensor.

Simulation results prove that FTEQ performs extremely well in terms of faulty detection rate and data query cost.

American Psychological Association (APA)

Zhu, Rongbo. 2010. Efficient Fault-Tolerant Event Query Algorithm in Distributed Wireless Sensor Networks. International Journal of Distributed Sensor Networks،Vol. 2010, no. 2010, pp.1-7.
https://search.emarefa.net/detail/BIM-483575

Modern Language Association (MLA)

Zhu, Rongbo. Efficient Fault-Tolerant Event Query Algorithm in Distributed Wireless Sensor Networks. International Journal of Distributed Sensor Networks No. 2010 (2010), pp.1-7.
https://search.emarefa.net/detail/BIM-483575

American Medical Association (AMA)

Zhu, Rongbo. Efficient Fault-Tolerant Event Query Algorithm in Distributed Wireless Sensor Networks. International Journal of Distributed Sensor Networks. 2010. Vol. 2010, no. 2010, pp.1-7.
https://search.emarefa.net/detail/BIM-483575

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-483575