Exclusive Contexts Resolver: A Low-Power Sensing Management System for Sustainable Context-Awareness in Exclusive Contexts

Dusan Baek and Jung-Won Lee
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Dusan Baek: Department of Electrical and Computer Engineering, Ajou University, 206, Suwon 16499, Korea
Jung-Won Lee: Department of Electrical and Computer Engineering, Ajou University, 206, Suwon 16499, Korea

Sustainability, 2017, vol. 9, issue 4, 1-18

Abstract: Several studies focus on sustainable context-awareness of a mobile device to which power is supplied from a limited battery. However, the existing studies did not consider an unnecessary sensing operation in exclusive contexts wherein it is not possible for the exclusive contexts to logically exist at the same time and are instead occasionally inferred practically due to the inaccuracy of the context-awareness. Simultaneously inferring two or more exclusive contexts is semantically meaningless and leads to inefficient power consumption, and thus, it is necessary to handle this problem for sustainable context-awareness. To this end, in the present study, an exclusive contexts resolver (ExCore), which is a low-power sensing management system, is proposed for sustainable context-awareness in exclusive contexts. The ExCore takes the sensor behavior model to the developer and identifies the sensing operation inferring the exclusive contexts through unnecessary sensing operation search rules. It also generates low-power sensing operations. The application and middleware were evaluated with the low-power sensing operations generated by the ExCore. The results indicated an average power efficiency improvement of 12–62% depending on the test scenario. The ExCore helps application developers or middleware developers in providing sustainable context-aware service in exclusive contexts.

Keywords: low-power; context-aware; sustainable; exclusive contexts; sensor management; sensing behavior model; context-sensing model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
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