HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

Fault‐Tolerant Prediction‐Based Scheme for Target Tracking in Wireless Sensor Networks

N. Demigha O. Badache M. Aissani A Mellouk 1
LISSI - Laboratoire Images, Signaux et Systèmes Intelligents
Abstract : Fault-tolerance is an important function in target tracking application using wireless sensor networks. We propose in this paper, an efficient fault-tolerant approach for target tracking that prevents the loss of the target. Instead of using a single prediction mechanism, our approach uses a multi-level incremental prediction technique that adjusts the prediction precision of the target movement. The responsible node of target detection uses multiple historical information pieces to calculate multi-level predictions which have different precision levels according to the number of information pieces used. Thanks to our parametric prediction model, our approach increases the prediction success rate and decreases the target loss frequency compared to basic approaches that use simple prediction models.
Document type :
Conference papers
Complete list of metadata

Contributor : Yacine Amirat Connect in order to contact the contributor
Submitted on : Tuesday, January 9, 2018 - 11:53:14 AM
Last modification on : Tuesday, October 19, 2021 - 4:10:12 PM


  • HAL Id : hal-01678656, version 1



N. Demigha, O. Badache, M. Aissani, A Mellouk. Fault‐Tolerant Prediction‐Based Scheme for Target Tracking in Wireless Sensor Networks. Proc. Of the IEEE Global Communications Conference (GLOBECOM), 2009, Honolulu, United States. pp.1-5. ⟨hal-01678656⟩



Record views