A location-based fog computing optimization of energy management in smart buildings:DEVS modeling and design of connected objects
作者机构：Computer Science DepartmentFaculty of Exact and Applied SciencesUniversity of Oran 1 Ahmed Ben BellaOran 31000Algeria Science and Technology DepartmentFaculty of Science and TechnologyUniversity of TIARETTiaret 14000Algeria Computer Science DepartmentFaculty of EngineeringUniversity of MonsMons 7000Belgium
出 版 物：《中国计算机科学前沿:英文版》 (Frontiers of Computer Science)
年 卷 期：2023年第17卷第2期
页 面：179-195页
核心收录：
学科分类：0810[工学-信息与通信工程] 08[工学] 081104[工学-模式识别与智能系统] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：Ministry of Higher Education and Scientific Research MHE&SR
主 题：smart building energy consumption IoT fog computing Framework DEVS simulation models
摘 要：Nowadays,smart buildings rely on Internet of things(loT)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 moderm 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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