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

被引:4
作者
Maatoug, Abdelfettah [1 ,2 ]
Belalem, Ghalem [1 ]
Mahmoudi, Said [3 ]
机构
[1] Univ Oran 1 Ahmed Ben Bella, Fac Exact & Appl Sci, Comp Sci Dept, Oran 31000, Algeria
[2] Univ TIARET, Fac Sci & Technol, Sci & Technol Dept, Tiaret 14000, Algeria
[3] Univ Mons, Fac Engn, Comp Sci Dept, B-7000 Mons, Belgium
关键词
smart building; energy consumption; IoT; fog omputing Framework; DEVS simulation models; DATA FUSION; CHALLENGES; FRAMEWORK; INTERNET;
D O I
10.1007/s11704-021-0375-z
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
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.
引用
收藏
页数:17
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