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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Trab, S. Boussaid, B. Zouinkhi, A. Abdelkrim, M.N. |
| Copyright Year | 2013 |
| Description | Author affiliation: Nat. Sch. of Eng. of Gabes, Univ. of Gabes, Gabes, Tunisia (Trab, S.; Boussaid, B.; Zouinkhi, A.; Abdelkrim, M.N.) |
| Abstract | Wireless Sensor Networks (WSNs) have been a significant system considerably exploited in numerous fields including medical, environmental, military and household applications. Yet, its high energy consumption and its potential fault vulnerability still their major drawback. Both of these issues require the implementation of fault distributed detection methods, capable of distinguishing faulty nodes from normal ones while minimizing energy. Thus, several approaches are proposed to detect these distributed errors, mentioning the Bayesian approach insuring the best choice of a proper sensor neighbourhood size n for best fault detection as well the energy conservation. In this paper, we define an energy minimization algorithm based on the Bayesian approach which ensures preventive sensor nodes pre-deployment against faults distribution. The Bayesian approach represents a study oscillating between Theory of Signal Detection (TSD), fault tolerance and energy minimization by determining the optimal parameters required to achieve this fault tolerance detection. This method includes the error probability due to the sensor itself which is included in the fault detection scheme thus the network will be more accurate. The experimental simulations will join a perceptive study allowing to the best choice of algorithm inputs then we will prouve that the proposed algorithm is able to provide a better detection performance while optimizing energy in WSN. |
| Starting Page | 237 |
| Ending Page | 242 |
| File Size | 436776 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781479929542 |
| DOI | 10.1109/STA.2013.6783137 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-12-20 |
| Publisher Place | Tunisia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless sensor networks Fault tolerance Bayesian approach Fault detection Fault tolerant systems Optimized production technology Minimization Distributed fault detection Bayes methods Energy minimization Sensor node pre-deployment |
| Content Type | Text |
| Resource Type | Article |
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