Towards decision support systems for energy management in the smart industry and Internet of Things
Li J. Dai J. Issakhov A. Almojil S.F. Souri A.
November 2021Elsevier Ltd
Computers and Industrial Engineering
2021#161
Decision Support Systems (DSS) have widely provided on intelligent human–machine interactions like the Internet of Things (IoT). As the dimensions and complexity of the IoT communications between intelligent devices, industrial equipment, sensors, and mobile applications are continuously increasing, supporting Service Level Agreements (SLA) for a large amount of cloud data centers and a huge number of user requests is going to be more challenging. This challenge would be more complicated when the energy consumption of the industrial IoT ecosystems increases exponentially as well. Therefore, DSS models are required for automated decision-making in critical IoT environments like intelligent industrial systems and smart cities. This paper provides a comprehensive review of the DSS strategies for energy-efficient IoT applications in intelligent urban computing. The main objective of this review is (1) presenting a technical taxonomy to categorize existing energy-efficient DSS models for industrial and smart environments in IoT ecosystems; (2) recognizing significant research trends in the field of energy-aware DSS strategies for intelligent urban computing in IoT and (3) presenting a technical and statistical analysis of reviewed studies and evaluation factors. Finally, innovations as forthcoming issues and new challenges of energy-based DSS strategies for intelligent urban computing in IoT are presented.
Decision support systems , Energy consumption , Internet of Things , Smart industrial
Text of the article Перейти на текст статьи
School of Management, Jilin University, Changchun, 130022, Jilin, China
School of Government, Nanjing University, Nanjing, 210023, Jiangsu, China
Al-Farabi Kazakh National University, Almaty, Kazakhstan
Kazakh-British Technical University, Almaty, Kazakhstan
Department of Civil Engineering, King Saud University, PO Box 800, Riyadh, 11421, Saudi Arabia
Department of Computer Engineering, Haliç University, Beyoğlu, İstanbul, Turkey
School of Management
School of Government
Al-Farabi Kazakh National University
Kazakh-British Technical University
Department of Civil Engineering
Department of Computer Engineering
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026