PTA: A Predictive Tracking Algorithm in Wireless Multimedia Sensor Networks

Abstract : In this paper, we propose a new Predictive Tracking Algorithm for Wireless Multimedia Sensor Networks named PTA. PTA is a complete tracking algorithm that implements a five-step process: wake up, detection, localization, prediction, and next sensor selection. Each step has an important role in the tracking process. PTA attempts to find the trade-off between tracking accuracy and energy conservation. In this algorithm, the prediction phase is performed using a Kalman Filter, which is a recursive state estimator. Using simulations, we show the efficiency of the proposed algorithm in both trajectory prediction as well as energy saving. Moreover, we perform a comparative study between PTA and existing solutions: 1) BASIC solution where all the Camera Sensors are always active, 2) Optimal Camera Node Selection (OCNS) which is a cluster-based mechanism based on probabilistic node election. And Finally 3) PAM, another predictive scheme based on Autoregressive Model. Our results show that PTA increases the tracking accuracy up to 30% compared to existing solutions, while reducing energy consumption down to 589.16 Joules. Therefore, PTA yields an accurate upcoming position prediction, and is more efficient than existing predictive models.
Type de document :
Communication dans un congrès
Global Information Infrastructure Symposium, Oct 2013, Trento, Italy. 〈10.1109/GIIS.2013.6684343〉
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https://hal.archives-ouvertes.fr/hal-01577561
Contributeur : Abderrezak Rachedi <>
Soumis le : samedi 26 août 2017 - 11:49:53
Dernière modification le : mercredi 4 juillet 2018 - 16:38:02

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Ibtissem Boulanouar, Stéphane Lohier, Abderrezak Rachedi, Gilles Roussel. PTA: A Predictive Tracking Algorithm in Wireless Multimedia Sensor Networks. Global Information Infrastructure Symposium, Oct 2013, Trento, Italy. 〈10.1109/GIIS.2013.6684343〉. 〈hal-01577561〉

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