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PTA: A Predictive Tracking Algorithm in Wireless Multimedia Sensor Networks | IEEE Conference Publication | IEEE Xplore

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 fi...Show More

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.
Date of Conference: 28-31 October 2013
Date Added to IEEE Xplore: 16 December 2013
Electronic ISBN:978-1-4799-2969-6

ISSN Information:

Conference Location: Trento, Italy

References

References is not available for this document.