Open AccessSupporting availability evaluation of a smart building monitoring system aided by fog computing
Author(s) -
Silva Francisco Airton,
Fé Iure,
Brito Carlos,
Araújo Gabriel,
Feitosa Leonel,
Choi Eunmi,
Min Dugki,
Nguyen Tuan Anh
Publication year - 2022
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/ell2.12502
Subject(s) - downtime , computer science , context (archaeology) , architecture , building automation , markov chain , internet of things , wireless sensor network , embedded system , real time computing , reliability engineering , distributed computing , computer network , engineering , art , paleontology , physics , thermodynamics , machine learning , visual arts , biology , operating system
Internet of Things (IoT) is increasingly present in people's lives, mainly to provide security and well‐being. In homes and buildings, IoT sensors can monitor various factors such as temperature and the smoke presence. In case of danger, some action can be activated. However, a sensor network is a complex and fault‐prone architecture. Evaluating an IoT architecture in this context is essential. Thus, the objective of this paper is twofold: (i) suggest a continuous time Markov chain (CTMC) model for a smart building monitoring system as a starting point; (ii) based on the results of a sensitivity analysis, an expanded CTMC with improved system availability and shorter outage periods is proposed. The proposed solution reduced the downtime by 98% compared with the baseline architecture. Systems administrators can use our models to evaluate their solutions.