LEDFD: A Low Energy Consumption Distributed Fault Detection Algorithm for Wireless Sensor Networks
Detection of faulty nodes and network energy saving have become the hottest research topics. Furthermore, current fault detection algorithms always pursue high detection performance but neglect energy consumption. In order to obtain good fault detection performance and save the network power, this p...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-02-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2014/714530 |
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| _version_ | 1832559162462044160 |
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| author | Xiaolong Xu Weijian Geng Geng Yang Nik Bessis Peter Norrington |
| author_facet | Xiaolong Xu Weijian Geng Geng Yang Nik Bessis Peter Norrington |
| author_sort | Xiaolong Xu |
| collection | DOAJ |
| description | Detection of faulty nodes and network energy saving have become the hottest research topics. Furthermore, current fault detection algorithms always pursue high detection performance but neglect energy consumption. In order to obtain good fault detection performance and save the network power, this paper proposes a low energy consumption distributed fault detection algorithm (LEDFD), which takes full advantage of temporally correlated and spatially correlated characteristics of the sensor nodes. LEDFD utilizes the temporally correlated information to examine some faulty nodes and then utilizes the spatially correlated information to examine the nodes that have not been detected as faulty through exchanging information among neighbor nodes to determine those nodes' state. Because LEDFD takes the data produced by nodes themselves to detect certain types of faults, which means nodes need not exchange information with their neighbor nodes during the entire detection process, the energy consumption of networks is efficiently reduced. Experimental results show that the algorithm has good performance and low energy consumption compared with current algorithms. |
| format | Article |
| id | doaj-art-a833bd3ed5414a92a3895c5ac4e64401 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2014-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-a833bd3ed5414a92a3895c5ac4e644012025-02-03T01:30:43ZengWileyInternational Journal of Distributed Sensor Networks1550-14772014-02-011010.1155/2014/714530714530LEDFD: A Low Energy Consumption Distributed Fault Detection Algorithm for Wireless Sensor NetworksXiaolong Xu0Weijian Geng1Geng Yang2Nik Bessis3Peter Norrington4 State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210046, China College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, China Jiangsu High Technology Research Key Lab for WSNs, Nanjing University of Posts and Telecommunications, Nanjing 210003, China School of Computing and Mathematics, University of Derby, Derby DE22 1GB, UK Institute for Research in Applicable Computing, University of Bedfordshire, Bedfordshire LU1 3JU, UKDetection of faulty nodes and network energy saving have become the hottest research topics. Furthermore, current fault detection algorithms always pursue high detection performance but neglect energy consumption. In order to obtain good fault detection performance and save the network power, this paper proposes a low energy consumption distributed fault detection algorithm (LEDFD), which takes full advantage of temporally correlated and spatially correlated characteristics of the sensor nodes. LEDFD utilizes the temporally correlated information to examine some faulty nodes and then utilizes the spatially correlated information to examine the nodes that have not been detected as faulty through exchanging information among neighbor nodes to determine those nodes' state. Because LEDFD takes the data produced by nodes themselves to detect certain types of faults, which means nodes need not exchange information with their neighbor nodes during the entire detection process, the energy consumption of networks is efficiently reduced. Experimental results show that the algorithm has good performance and low energy consumption compared with current algorithms.https://doi.org/10.1155/2014/714530 |
| spellingShingle | Xiaolong Xu Weijian Geng Geng Yang Nik Bessis Peter Norrington LEDFD: A Low Energy Consumption Distributed Fault Detection Algorithm for Wireless Sensor Networks International Journal of Distributed Sensor Networks |
| title | LEDFD: A Low Energy Consumption Distributed Fault Detection Algorithm for Wireless Sensor Networks |
| title_full | LEDFD: A Low Energy Consumption Distributed Fault Detection Algorithm for Wireless Sensor Networks |
| title_fullStr | LEDFD: A Low Energy Consumption Distributed Fault Detection Algorithm for Wireless Sensor Networks |
| title_full_unstemmed | LEDFD: A Low Energy Consumption Distributed Fault Detection Algorithm for Wireless Sensor Networks |
| title_short | LEDFD: A Low Energy Consumption Distributed Fault Detection Algorithm for Wireless Sensor Networks |
| title_sort | ledfd a low energy consumption distributed fault detection algorithm for wireless sensor networks |
| url | https://doi.org/10.1155/2014/714530 |
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