@inproceedings{c2f980fbb57348bb9bf404e582eeb03b,
title = "Motion trends detection in wireless sensor networks",
abstract = "We address the problem of efficient detection of destination-related motion trends in Wireless Sensor Networks (WSN) where tracking is done in collaborative manner among the sensor nodes participating in location detection. In addition to determining a single location, applications may need to detect whether certain properties are true for the (portion of the) entire trajectories. Transmitting the sequence of (location, time) values to a dedicated sink and relying on the sink to detect the validity of the desired properties is a brute-force approach that generates a lot of communication overhead. We present an in-network distributed algorithm for efficient detecting of the Continuously Moving Towards predicate with respect to a given destination that is either a point or a region with polygonal boundary. Our experiments demonstrate that the proposed approaches yield substantial savings when compared to the brute-force one.",
author = "Goce Trajcevski and Besim Avci and Fan Zhou and Roberto Tamassia and Scheuermann, {Peter I} and Lauren Miller and Adam Barber",
year = "2012",
doi = "10.1109/MDM.2012.38",
language = "English (US)",
isbn = "9780769547138",
series = "Proceedings - 2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012",
pages = "232--237",
booktitle = "Proceedings - 2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012",
note = "2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012 ; Conference date: 23-07-2012 Through 26-07-2012",
}