Abstract
Many algorithms and applications use GPS as standard for outdoor usage. But they cannot perform correctly for shaded areas such as tunnels, canyons, and near large buildings. Other localization algorithms and reference information are then required for aiding GPS. In this paper, we propose an architecture for tracking of a mobile node considering: (i) a main node tracking system that is feasible enough for non-shaded areas and (ii) a subsystem that supports the location during shaded areas. In (i), we propose the Probabilistic Random Mobility Model for simulating paths based on Center Turning Radius (CTR) which is both an inherent vehicular feature and a vehicular displacement restriction. In (ii), Particle Filtering approach is used because it is able to handle location uncertainty during shaded areas and improves over time. The status and CTR of a mobile node are used to reduce and adapt the space of uncertainty where particles are drawn. Finally, a priority-selective control based on the suppress principle is employed for choosing (ii) during shaded areas.
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Acknowledgment
Research of M. Barbeau and E. Kranakis supported in part by NSERC grants and S. Jauregui by Emerging Leaders in the Americas Program (ELAP) and the National Council of Science and Technology (CONACYT) while the author was visiting the School of Computer Science, Carleton University.
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Jauregui, S., Barbeau, M., Kranakis, E., Scalabrin, E., Siller, M. (2015). Localization of a Mobile Node in Shaded Areas. In: Papavassiliou, S., Ruehrup, S. (eds) Ad-hoc, Mobile, and Wireless Networks. ADHOC-NOW 2015. Lecture Notes in Computer Science(), vol 9143. Springer, Cham. https://doi.org/10.1007/978-3-319-19662-6_7
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