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http://dx.doi.org/10.7840/kics.2017.42.2.523

Individual Presence-and-Preference-Based Local Intelligent Service System and Mobile Edge Computing  

Kim, Kilhwan (Sangmyung University Department of Managment Engineering)
Jang, Jin-San (Sangmyung University Department of Managment Engineering)
Keum, Changsup (ETRI Hyper-connected Communication Research Laboratory)
Chung, Ki-Sook (ETRI Hyper-connected Communication Research Laboratory)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.42, no.2, 2017 , pp. 523-535 More about this Journal
Abstract
Local intelligent services aim at controlling local services such as cooling or lightening services in a certain local area, using Internet-of-Things (IoT) sensor data in the area. As the IoT paradigm has evolved, local intelligent services have gained increasing attention. However, most of the local intelligent service mechanism proposed so far do not directly take the users' presence and service preference information into account for controlling local services. This study proposes an individual presence-and-preference-based local service system (IPP-LISS). We present a intelligent service control algorithm and implement a prototype system of IPP-LISS. Typically, the intelligence part of IPP-LISS including the prediction models, is generated on remote server in the cloud because of their compute-intense aspect. However, this can cause huge data traffic between IoT devices and servers in the cloud. The emerging mobile edge computing technology will be a promising solution of this challenge of IPP-LISS. In this paper, we implement IPP-LISS in the cloud, and then, based on the implementation result, we discuss applying the mobile edge computing technology to the IPP-LISS application.
Keywords
intelligent service; Internet-of-Things (IoT); data mining; presence information; edge computing;
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Times Cited By KSCI : 3  (Citation Analysis)
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