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Fog Agents in Distributed Multi Agent System for Autonomous Energy Management

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Proceedings of the Sixth International Conference on Green and Human Information Technology (ICGHIT 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 502))

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Abstract

Fog Computing is an emerging paradigm that distributes computing and networking services closer to where user data is generated. The Fog presents a new architecture that “takes processing to the data”. The fog will resolve in the Internet of Things such as bandwidth and cost constraints and performing data fusion, etc. Considering the “distributed” property, this paper proposes to exploit the multi agent system technology for the development of the fog system. To demonstrate its feasibility, we adopt an open source platform for a multi agent system, VOLTTRON. Then, four types of fog agents are developed that collaborate to conduct building energy management tasks in an autonomous manner. The agents can reduce the energy waste in a building by managing the brightness of lights, power status of the HVAC systems, and various energy loads. They also receive weather data and price data from Korea Meteorological Administration and Korea Power Exchange and present the data on the web. This helps user to recognize the information easier.

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Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Ministry of Science, ICT & Future Planning (No. 2016R1C1B1016084). Eun-Kyu Lee is the corresponding author.

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Correspondence to Eun-Kyu Lee .

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Na, UK., Kim, YG., Jo, JS., Lee, EK. (2019). Fog Agents in Distributed Multi Agent System for Autonomous Energy Management. In: Hwang, S., Tan, S., Bien, F. (eds) Proceedings of the Sixth International Conference on Green and Human Information Technology. ICGHIT 2018. Lecture Notes in Electrical Engineering, vol 502. Springer, Singapore. https://doi.org/10.1007/978-981-13-0311-1_9

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  • DOI: https://doi.org/10.1007/978-981-13-0311-1_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0310-4

  • Online ISBN: 978-981-13-0311-1

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