<P><B>Abstract</B></P> <P>In this paper, we propose a computational negotiation approach on Internet of Things (IoT) system where distributed edge devices can make their own decisions for smart applications. Particularly...
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https://www.riss.kr/link?id=A107446086
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2019
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SCI,SCIE,SCOPUS
학술저널
222-236(15쪽)
0
상세조회0
다운로드다국어 초록 (Multilingual Abstract)
<P><B>Abstract</B></P> <P>In this paper, we propose a computational negotiation approach on Internet of Things (IoT) system where distributed edge devices can make their own decisions for smart applications. Particularly...
<P><B>Abstract</B></P> <P>In this paper, we propose a computational negotiation approach on Internet of Things (IoT) system where distributed edge devices can make their own decisions for smart applications. Particularly, Artificial Intelligence (AI) techniques play an important role of edge analytics in order to adaptively improve the performance of IoT systems. In this regard, we apply several AI techniques to provide negotiation models (e.g., synchronization, competition, and cooperation) among connected objects for edge analytics. Moreover, in the context of smart city, two typical use cases on IoT applications have been presented to evaluate our proposed approach. They are <I>i</I>) smart traffic control and <I>ii</I>) smart home energy management system.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A distributed framework for communication and collaboration among connected objects is presented in this paper which can be applied for many critical issues. </LI> <LI> We apply computational negotiation models for connected objects which are expected to be an important issue for edge intelligence. </LI> <LI> We take two emergent IoT use cases for smart cities to evaluate the performances of our approach. </LI> </UL> </P>
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