Fault Detection Modelling and Analysis in a Wireless Sensor Network
Joint Authors
Ma, Lin
Qin, Danyang
Jia, Shuang
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-17
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
For the serious impacts of network failure caused by the unbalanced energy consumption of sensor nodes, hardware failure, and attacker intrusion on data transmission, a low-energy-consumption distributed fault detection mechanism in a wireless sensor network (LEFD) is proposed in this paper.
The time correlation information of nodes is used to detect fault nodes in LEFD firstly, and then the spatial correlation information is adopted to detect the remaining fault nodes, so as to check the states of nodes comprehensively and improve the efficiency of data transmission.
In addition, the nodes do not need to exchange information with their neighbor nodes in the detection process since LEFD uses the data sensed by the node itself to detect some types of faults, thus reducing the energy consumption of nodes effectively.
Performance analysis and simulation results show that the proposed detection mechanism can improve the transmission performance and reduce the energy consumption of the network effectively.
American Psychological Association (APA)
Jia, Shuang& Ma, Lin& Qin, Danyang. 2018. Fault Detection Modelling and Analysis in a Wireless Sensor Network. Journal of Sensors،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1202074
Modern Language Association (MLA)
Jia, Shuang…[et al.]. Fault Detection Modelling and Analysis in a Wireless Sensor Network. Journal of Sensors No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1202074
American Medical Association (AMA)
Jia, Shuang& Ma, Lin& Qin, Danyang. Fault Detection Modelling and Analysis in a Wireless Sensor Network. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1202074
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1202074