A location-based fog computing optimization of energy management in smart buildings: DEVS modeling and design of connected objects

doi:10.1007/s11704-021-0375-z

Front. Comput. Sci.

2023, Vol. 17

Issue (2) : 172501 https://doi.org/10.1007/s11704-021-0375-z

RESEARCH ARTICLE

A location-based fog computing optimization of energy management in smart buildings: DEVS modeling and design of connected objects

Abdelfettah MAATOUG^1,²(

), Ghalem BELALEM¹, Saïd MAHMOUDI³

¹. Computer Science Department, Faculty of Exact and Applied Sciences, University of Oran 1 Ahmed Ben Bella, Oran 31000, Algeria
². Science and Technology Department, Faculty of Science and Technology, University of TIARET, Tiaret 14000, Algeria
³. Computer Science Department, Faculty of Engineering, University of Mons, Mons 7000, Belgium

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Abstract

Nowadays, smart buildings rely on Internet of things (IoT) technology derived from the cloud and fog computing paradigms to coordinate and collaborate between connected objects. Fog is characterized by low latency with a wider spread and geographically distributed nodes to support mobility, real-time interaction, and location-based services. To provide optimum quality of user life in modern buildings, we rely on a holistic Framework, designed in a way that decreases latency and improves energy saving and services efficiency with different capabilities. Discrete EVent system Specification (DEVS) is a formalism used to describe simulation models in a modular way. In this work, the sub-models of connected objects in the building are accurately and independently designed, and after installing them together, we easily get an integrated model which is subject to the fog computing Framework. Simulation results show that this new approach significantly, improves energy efficiency of buildings and reduces latency. Additionally, with DEVS, we can easily add or remove sub-models to or from the overall model, allowing us to continually improve our designs.

Keywords smart building energy consumption IoT fog computing Framework DEVS simulation models

Corresponding Author(s): Abdelfettah MAATOUG

Just Accepted Date: 03 March 2021 Issue Date: 01 March 2022

Cite this article:

Abdelfettah MAATOUG,Ghalem BELALEM,Saïd MAHMOUDI. A location-based fog computing optimization of energy management in smart buildings: DEVS modeling and design of connected objects[J]. Front. Comput. Sci., 2023, 17(2): 172501.

URL:

https://academic.hep.com.cn/fcs/EN/10.1007/s11704-021-0375-z
https://academic.hep.com.cn/fcs/EN/Y2023/V17/I2/172501

Fig.1 The logical roadmap of this work

Fig.2 Fog location-based framework [7]

Fig.3 Description of a DEVS atomic model

Fig.4 Graphical notations of transition, (a) external and (b) internal

Fig.5 Description of a DEVS coupled model

Fig.6 How to locate the user in our approach

Fig.7 Multilevel model for the building EMS (house or office EMS)

Fig.8 DEVS atomic model of a simple lamp

Fig.9 DEVS atomic model of an optimizer

Fig.10 DEVS atomic model of a solver

Fig.11 DEVS simulation model of the energy management in house and office

Fig.12 View of JDEVS software modules

Fig.13 Representation of the global model using the JDEVS tool

Fig.14 Representation of the house EMS coupled model using the JDEVS tool

Tab.1 Daily house energy consumption estimation

Tab.2 Daily office energy consumption estimation

Fig.15 Comparison of the energy consumption of the house with the three modes’ energy estimation

Fig.16 Comparison of the energy consumption of office with the three modes’ energy estimation

Tab.3 House simulation data

Tab.4 Office simulation data

Fig.17 Daily house’s lighting energy consumption

Fig.18 Daily office’s lighting energy consumption

Fig.19 Weekly house energy gain

Fig.20 Weekly office energy gain

Tab.5 Total weekly Energy consumption in both works

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