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

被引:0
作者
Abdelfettah Maatoug
Ghalem Belalem
Saïd Mahmoudi
机构
[1] University of Oran 1 Ahmed Ben Bella,Computer Science Department, Faculty of Exact and Applied Sciences
[2] University of TIARET,Science and Technology Department, Faculty of Science and Technology
[3] University of Mons,Computer Science Department, Faculty of Engineering
来源
Frontiers of Computer Science | 2023年 / 17卷
关键词
smart building; energy consumption; IoT; fog omputing Framework; DEVS simulation models;
D O I
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中图分类号
学科分类号
摘要
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.
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