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Open AccessArticle

An Approach to Share Self-Taught Knowledge between Home IoT Devices at the Edge

IoT Research Division, Electronics and Telecommunications Research Institute, Daejeon 34129, Korea
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This paper is an extended version of our previous work: Ingook, J.; Donghun, L.; Jinchul, C.; Youngsung, S. Knowledge of Things: A novel approach to share self-taught knowledge between IoT devices. In Proceedings of the 2018 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, 12–14 January 2018.
Sensors 2019, 19(4), 833; https://doi.org/10.3390/s19040833
Received: 28 December 2018 / Revised: 11 February 2019 / Accepted: 13 February 2019 / Published: 18 February 2019
(This article belongs to the Special Issue Internet of Things for Smart Homes)
The traditional Internet of Things (IoT) paradigm has evolved towards intelligent IoT applications which exploit knowledge produced by IoT devices using artificial intelligence techniques. Knowledge sharing between IoT devices is a challenging issue in this trend. In this paper, we propose a Knowledge of Things (KoT) framework which enables sharing self-taught knowledge between IoT devices which require similar or identical knowledge without help from the cloud. The proposed KoT framework allows an IoT device to effectively produce, cumulate, and share its self-taught knowledge with other devices at the edge in the vicinity. This framework can alleviate behavioral repetition in users and computational redundancy in systems in intelligent IoT applications. To demonstrate the feasibility of the proposed concept, we examine a smart home case study and build a prototype of the KoT framework-based smart home system. Experimental results show that the proposed KoT framework reduces the response time to use intelligent IoT devices from a user’s perspective and the power consumption for compuation from a system’s perspective. View Full-Text
Keywords: Internet of Things; intelligent IoT; smart home; edge computing; knowledge sharing Internet of Things; intelligent IoT; smart home; edge computing; knowledge sharing
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MDPI and ACS Style

Jang, I.; Lee, D.; Choi, J.; Son, Y. An Approach to Share Self-Taught Knowledge between Home IoT Devices at the Edge. Sensors 2019, 19, 833. https://doi.org/10.3390/s19040833

AMA Style

Jang I, Lee D, Choi J, Son Y. An Approach to Share Self-Taught Knowledge between Home IoT Devices at the Edge. Sensors. 2019; 19(4):833. https://doi.org/10.3390/s19040833

Chicago/Turabian Style

Jang, Ingook; Lee, Donghun; Choi, Jinchul; Son, Youngsung. 2019. "An Approach to Share Self-Taught Knowledge between Home IoT Devices at the Edge" Sensors 19, no. 4: 833. https://doi.org/10.3390/s19040833

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