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Improving fault-tolerant scheme for a time-sensitive autonomous local wireless sensor network
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Source International Conference On Mobile Technology, Applications, And Systems archive
Proceedings of the International Conference on Mobile Technology, Applications, and Systems table of contents
Yilan, Taiwan
SESSION: Ad hoc & sensor networks table of contents
Article No. 54  
Year of Publication: 2008
ISBN:978-1-60558-089-0
Authors
Hui-Ching Hsieh  National Tsing Hua University, Taiwan
Jenq-Shiou Leu  National Taiwan University of Science and Technology, Taiwan
Yen-Chiu Chen  National Tsing Hua University, Taiwan
Wei-Kuan Shih  National Tsing Hua University, Taiwan
Publisher
ACM  New York, NY, USA
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ABSTRACT

Wireless sensor networks have been widely applied to many fields including industry, science and environment monitoring. A typical wireless sensor network comprises distributed sensors and a sink. The sink gathers and analyzes the data from distributed sensors and then takes the corresponding action accordingly. Such an architecture is vulnerable to a single-point of failure problem. In addition, when sensors do not have a direct link with the sink, they must deliver data by hopping through other sensors. The sink may take a longer time to collect data. Furthermore, some faulty sensors may cause an incorrect result. To overcome the single-point of failure problem and the unexpected sensor faultiness in a traditional wireless sensor network, we propose a consensus problem algorithm which is applied to an autonomous local wireless sensor network without a centralized sink. Since there is no need to send the detected value from distributed sensors to a central sink, our scheme can conduct a quick and direct action taking. Additionally, distributed computing in such an autonomous local wireless sensor network can endure limited faulty sensors and environment interference.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Hui-Ching Hsieh: colleagues
Jenq-Shiou Leu: colleagues
Yen-Chiu Chen: colleagues
Wei-Kuan Shih: colleagues