Abstract
Wireless Sensor Networks (WSNs) are arising from the proliferation of Micro-Electro-Mechanical Systems (MEMS) technology as an important new area in wireless technology. They are composed of tiny devices which monitor physical or environmental conditions such as temperature, pressure, motion or pollutants, etc. Moreover, the accuracy of individual sensor node readings is decisive in WSN applications. Hence, detecting nodes with faulty sensors can strictly influence the network performance and extend the network lifetime. In this paper, we propose a new approach for faulty sensor node detection in WSNs based on Copula theory. The obtained experimental results on real datasets collected from real sensor networks show the effectiveness of our approach.
| Original language | English |
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| Title of host publication | Proceedings of the 2nd International Conference on Internet of Things and Cloud Computing, ICC 2017 |
| Editors | Hani Hamdan, Djallel Eddine Boubiche, Faouzi Hidoussi |
| Publisher | Association for Computing Machinery |
| ISBN (Electronic) | 9781450347747 |
| DOIs | |
| State | Published - 22 Mar 2017 |
| Externally published | Yes |
Publication series
| Name | ACM International Conference Proceeding Series |
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Bibliographical note
Publisher Copyright:© 2017 ACM.
Keywords
- Copulas
- Failure nodes
- Faulty sensors
- Wireless Sensor Networks
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Vision and Pattern Recognition
- Computer Networks and Communications