Distributed event localization and tracking with wireless sensors

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Abstract

In this paper we present the distributed event localization and tracking algorithm DELTA that solely depends on light measurements. Based on this information and the positions of the sensors, DELTA is able to track a moving person equipped with a flashlight by dynamically building groups and electing well located nodes as group leaders. Moreover, DELTA supports object localization. The gathered data is sent to a monitoring entity in a fixed network which can apply pattern recognition techniques to determine the legitimacy of the moving person. DELTA enables object tracking with minimal constraints on both sensor hardware and the moving object. We show the feasibility of the algorithm running on the limited hardware of an existing sensor platform. © Springer-Verlag Berlin Heidelberg 2007.

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APA

Wälchli, M., Skoczylas, P., Meer, M., & Braun, T. (2007). Distributed event localization and tracking with wireless sensors. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4517 LNCS, pp. 247–258). Springer Verlag. https://doi.org/10.1007/978-3-540-72697-5_21

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