@inproceedings{ddfb7274c9ff4b809327760bc20984ce,
title = "A low-power sensing management method for sustainable context-awareness in exclusive contexts",
abstract = "A context-aware service makes the assumption that two or more exclusive contexts are not inferred simultaneously such as driving and studying, indoor and outdoor. However, in practice they are sometimes inferred at the same time, and it causes inefficient power consumption because it does not make sense. To handle this problem and improve power efficiency, we propose a low-power sensing management method for sustainable context-awareness in exclusive contexts. In our method, we identify the exclusive contexts by using sensing models. Then, we determine next sensing time by utilizing supplementary sensor or increase the period of sensing in the exclusive contexts (i.e., back off). The results of our preliminary application show that the power efficiency is improved to 21% in the exclusive contexts. The proposed method will be more effective when the exclusive contexts are inferred more frequently according to diffusion of context-aware services in the future.",
keywords = "Context-aware, Low-power, Sensor manage, Sustainable",
author = "Dusan Baek and Park, {Jae Hyeon} and Byungjeong Lee and Lee, {Jung Won}",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2017.; 11th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2016 ; Conference date: 19-12-2016 Through 21-12-2016",
year = "2017",
doi = "10.1007/978-981-10-3023-9_148",
language = "English",
isbn = "9789811030222",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "950--956",
editor = "Vincenzo Loia and {Jong Hyuk Park}, {James J.} and Gangman Yi and Yi Pan",
booktitle = "Advances in Computer Science and Ubiquitous Computing - CSA-CUTE2016",
address = "Germany",
}