Junseok Song, Byungjun Lee, Kyung Tae Kim, Hee Yong Youn, Journal of Internet Computing and Services, Vol. 18, No. 2, pp. 21-30, Apr. 2017
10.7472/jksii.2017.18.2.21, Full Text:  HTML
Keywords: IoT, Internet of Things, Edge Computing, Expert system, Context Awareness, Inference engine

Abstract

IoT(Internet of Things) can enable networking and computing using any devices is rapidly proliferated. In the existing IoT environment, bottlenecks and service delays can occur because it processes data and provides services to users using central processing based on Cloud. For this reason, Edge Computing processes data directly in IoT nodes and networks to provide the services to the users has attracted attention. Also, numerous researchers have been attracted to intelligent service efficiently based on Edge Computing. In this paper, expert system-based context awareness scheme for Edge Computing in IoT environment is proposed. The proposed scheme can provide customized services to the users using context awareness and process data in real-time using the expert system based on efficient cooperations of resource limited IoT nodes. The context awareness services can be modified by the users according to the usage purpose. The three service modes in the security system based on smart home are used to test the proposed scheme and the stability of the proposed scheme is proven by a comparison of the resource consumptions of the servers between the proposed scheme and the PC-based expert system.

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