An Improved Distributed Fault Diagnosis Algorithm in Wireless Sensor Networks
Lin Chang, Zhi-Qing Huang, Yan-Xin Zhang
Available Online December 2016.
- https://doi.org/10.2991/icwcsn-16.2017.132How to use a DOI?
- wireless sensor networks (wsns); vector space model; cross-sliding window; node fault diagnosis
- In wireless sensor networks (WSNs), nodes fault diagnosis is the important measure for the continuous monitoring service. Efficient and accurate methods for diagnose nodes fault is a hot research topic in the field of WSNs in the recent years. This paper propose an improved distributed fault diagnosis method namely Cross-Space Distributed Fault Diagnosis (CS-DFD) which follows the DFD algorithm, building high-dimensional vector space model through the collected information from each node, establishing the cross type of sliding window through its historical data and the data from neighbor nodes, setting the cross direction customizable weights of fault. Ultimately, achieving the goal of fault diagnosis by detecting abnormal vector and threshold. The experimental results show that it has reduced the amount of calculation; simplified harsh conditions of fault judgments; reduced the consumption of electricity, etc. which in DFD algorithm. Comparing with the traditional DFD algorithm, the fault diagnosis accuracy improved by 5.14%, the fault of false alarm ratio (FAR) decreased by 2.01% and the time of diagnosis has shortened obviously.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Lin Chang AU - Zhi-Qing Huang AU - Yan-Xin Zhang PY - 2016/12 DA - 2016/12 TI - An Improved Distributed Fault Diagnosis Algorithm in Wireless Sensor Networks BT - 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016) PB - Atlantis Press SP - 646 EP - 651 SN - 2352-538X UR - https://doi.org/10.2991/icwcsn-16.2017.132 DO - https://doi.org/10.2991/icwcsn-16.2017.132 ID - Chang2016/12 ER -