Unifying Sensor Fault Detection with Energy Conservation

Abstract : Wireless sensor networks are attracting increasing interest but suffer from severe challenges such as power constraints and low data reliability. Sensors are often energy-hungry and cannot operate over the long term, and the data they gather are frequently erroneous in complex ways. The two problems are linked, but existing work typically treats them independently: in this paper we consider both side-by-side, and propose a self-organising solution for model-based data collection that reduces errors and communications in a unified fashion.
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Communication dans un congrès
David Hutchison; Takeo Kanade; Madhu Sudan; Demetri Terzopoulos; Doug Tygar; Moshe Y. Vardi; Gerhard Weikum; Wilfried Elmenreich; Falko Dressler; Vittorio Loreto; Josef Kittler; Jon M. Kleinberg; Friedemann Mattern; John C. Mitchell; Moni Naor; Oscar Nierstrasz; C. Pandu Rangan; Bernhard Steffen. 7th International Workshop on Self-Organizing Systems (IWSOS), May 2013, Palma de Mallorca, Spain. Springer, Lecture Notes in Computer Science, LNCS-8221, pp.176-181, 2014, Self-Organizing Systems. 〈10.1007/978-3-642-54140-7_18〉
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Lei Fang, Simon Dobson. Unifying Sensor Fault Detection with Energy Conservation. David Hutchison; Takeo Kanade; Madhu Sudan; Demetri Terzopoulos; Doug Tygar; Moshe Y. Vardi; Gerhard Weikum; Wilfried Elmenreich; Falko Dressler; Vittorio Loreto; Josef Kittler; Jon M. Kleinberg; Friedemann Mattern; John C. Mitchell; Moni Naor; Oscar Nierstrasz; C. Pandu Rangan; Bernhard Steffen. 7th International Workshop on Self-Organizing Systems (IWSOS), May 2013, Palma de Mallorca, Spain. Springer, Lecture Notes in Computer Science, LNCS-8221, pp.176-181, 2014, Self-Organizing Systems. 〈10.1007/978-3-642-54140-7_18〉. 〈hal-01291517〉

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