Abstract
As key technologies of sensor network have been deployed to various applications, such as ubiquitous computing and mobile computing, the importance of sensor network were recognized. Because most sensors are battery operated, the constrained power of sensors is a serious problem. If data containing small error is tolerable to users, the sensor data can be sampled discretely. An efficient power conserving algorithm is presented in this paper. By observing the trend of the sensor data, it was possible to predict the time that exceeds the specified maximum error. The algorithm has been applied to various sensor data including synthetic data. Compared to the regular sensors which do not adapt the proposed algorithm, the proposed sensors in this paper shows that the sensor’s life time can be increased up to six folds within the range of 1% tolerable data error.
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Lee, H.J. (2006). Algorithm for the Predictive Hibernation of Sensor Systems. In: Youn, H.Y., Kim, M., Morikawa, H. (eds) Ubiquitous Computing Systems. UCS 2006. Lecture Notes in Computer Science, vol 4239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11890348_37
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DOI: https://doi.org/10.1007/11890348_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46287-3
Online ISBN: 978-3-540-46289-7
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