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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Fang, L., Dobson, S. (2014). Unifying Sensor Fault Detection with Energy Conservation. In: Elmenreich, W., Dressler, F., Loreto, V. (eds) Self-Organizing Systems. IWSOS 2013. Lecture Notes in Computer Science, vol 8221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54140-7_18
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DOI: https://doi.org/10.1007/978-3-642-54140-7_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54139-1
Online ISBN: 978-3-642-54140-7
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