Model Selection Approach for Distributed Fault Detection in Wireless Sensor Networks
Sensor networks aim at monitoring their surroundings for event detection and object tracking. But, due to failure or death of sensors, false signal can be transmitted. In this paper, we consider the problems of distributed fault detection in wireless sensor network (WSN). In particular, we consider...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2014-01-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2014/148234 |
| _version_ | 1797726040102010880 |
|---|---|
| author | Mrinal Nandi Anup Dewanji Bimal Roy Santanu Sarkar |
| author_facet | Mrinal Nandi Anup Dewanji Bimal Roy Santanu Sarkar |
| author_sort | Mrinal Nandi |
| collection | DOAJ |
| description | Sensor networks aim at monitoring their surroundings for event detection and object tracking. But, due to failure or death of sensors, false signal can be transmitted. In this paper, we consider the problems of distributed fault detection in wireless sensor network (WSN). In particular, we consider how to take decision regarding fault detection in a noisy environment as a result of false detection or false response of event by some sensors, where the sensors are placed at the center of regular hexagons and the event can occur at only one hexagon. We propose fault detection schemes that explicitly introduce the error probabilities into the optimal event detection process. We introduce two types of detection probabilities, one for the center node, where the event occurs, and the other one for the adjacent nodes. This second type of detection probability is new in sensor network literature. We develop schemes under the model selection procedure and multiple model selection procedure and use the concept of Bayesian model averaging to identify a set of likely fault sensors and obtain an average predictive error. |
| first_indexed | 2024-03-12T10:40:04Z |
| format | Article |
| id | doaj.art-c7033edc969f4642807a17ab637521ab |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T10:40:04Z |
| publishDate | 2014-01-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-c7033edc969f4642807a17ab637521ab2023-09-02T08:18:38ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772014-01-011010.1155/2014/148234148234Model Selection Approach for Distributed Fault Detection in Wireless Sensor NetworksMrinal Nandi0Anup Dewanji1Bimal Roy2Santanu Sarkar3 Department of Statistics, West Bengal State University, Barasat, India ASD, Indian Statistical Institute, 203 B. T. Road, Kolkata 700 108, India ASD, Indian Statistical Institute, 203 B. T. Road, Kolkata 700 108, India Chennai Mathematical Institute, Chennai, IndiaSensor networks aim at monitoring their surroundings for event detection and object tracking. But, due to failure or death of sensors, false signal can be transmitted. In this paper, we consider the problems of distributed fault detection in wireless sensor network (WSN). In particular, we consider how to take decision regarding fault detection in a noisy environment as a result of false detection or false response of event by some sensors, where the sensors are placed at the center of regular hexagons and the event can occur at only one hexagon. We propose fault detection schemes that explicitly introduce the error probabilities into the optimal event detection process. We introduce two types of detection probabilities, one for the center node, where the event occurs, and the other one for the adjacent nodes. This second type of detection probability is new in sensor network literature. We develop schemes under the model selection procedure and multiple model selection procedure and use the concept of Bayesian model averaging to identify a set of likely fault sensors and obtain an average predictive error.https://doi.org/10.1155/2014/148234 |
| spellingShingle | Mrinal Nandi Anup Dewanji Bimal Roy Santanu Sarkar Model Selection Approach for Distributed Fault Detection in Wireless Sensor Networks International Journal of Distributed Sensor Networks |
| title | Model Selection Approach for Distributed Fault Detection in Wireless Sensor Networks |
| title_full | Model Selection Approach for Distributed Fault Detection in Wireless Sensor Networks |
| title_fullStr | Model Selection Approach for Distributed Fault Detection in Wireless Sensor Networks |
| title_full_unstemmed | Model Selection Approach for Distributed Fault Detection in Wireless Sensor Networks |
| title_short | Model Selection Approach for Distributed Fault Detection in Wireless Sensor Networks |
| title_sort | model selection approach for distributed fault detection in wireless sensor networks |
| url | https://doi.org/10.1155/2014/148234 |
| work_keys_str_mv | AT mrinalnandi modelselectionapproachfordistributedfaultdetectioninwirelesssensornetworks AT anupdewanji modelselectionapproachfordistributedfaultdetectioninwirelesssensornetworks AT bimalroy modelselectionapproachfordistributedfaultdetectioninwirelesssensornetworks AT santanusarkar modelselectionapproachfordistributedfaultdetectioninwirelesssensornetworks |