Distributed artificial bee colony approach for connected appliances in smart home energy management system
Khac-Hoai N. Bui
Center for Supercomputing Applications, Korea Institute of Science and Technology Information, Daejeon, South Korea
Search for more papers by this authorIsrael E. Agbehadji
Department of Information Technology, Durban University of Technology, Durban, South Africa
Search for more papers by this authorRichard Millham
Department of Information Technology, Durban University of Technology, Durban, South Africa
Search for more papers by this authorDavid Camacho
Information Systems Department, Technical University of Madrid, Madrid, Spain
Search for more papers by this authorCorresponding Author
Jason J. Jung
Department of Computer Engineering, Chung-Ang University, Seoul, South Korea
Correspondence
Jason J. Jung, Department of Computer Engineering, Chung-Ang University, Seoul, South Korea.
Email: [email protected]
Search for more papers by this authorKhac-Hoai N. Bui
Center for Supercomputing Applications, Korea Institute of Science and Technology Information, Daejeon, South Korea
Search for more papers by this authorIsrael E. Agbehadji
Department of Information Technology, Durban University of Technology, Durban, South Africa
Search for more papers by this authorRichard Millham
Department of Information Technology, Durban University of Technology, Durban, South Africa
Search for more papers by this authorDavid Camacho
Information Systems Department, Technical University of Madrid, Madrid, Spain
Search for more papers by this authorCorresponding Author
Jason J. Jung
Department of Computer Engineering, Chung-Ang University, Seoul, South Korea
Correspondence
Jason J. Jung, Department of Computer Engineering, Chung-Ang University, Seoul, South Korea.
Email: [email protected]
Search for more papers by this authorFunding information: Chung-Ang University, Grant/Award Number: 2018; National Research Foundation of Korea, Grant/Award Number: 2018K1A3A1A09078981
Abstract
In this study, we propose a computational intelligence model for the Internet of Things applications by applying the concept of swarm intelligence (SI) into connected devices. Particularly, decentralized management of smart home energy management system (HEMS) is taken into account in which connected appliances, by sharing information with each other, make the individual decisions for optimizing electricity prices of smart HEMS. Specifically, the study includes two main issues: (a) We propose a framework for decentralized management in smart HEMS; and (b) artificial bee colony (ABC) algorithm, a typical algorithm of SI techniques, has been applied for connected appliances in terms of communication and collaboration with each other to optimize the performance of the energy management system. Moreover, regarding the implementation, we develop and simulate a connected environment of smart home systems to evaluate the proposed approach. The simulation indicates the promising results in terms of optimizing the load balancing problem comparing with the conventional approach of the decentralized management system in smart home applications.
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