Semantic Scholar Open Access 2019 425 sitasi

Intelligent Edge Computing for IoT-Based Energy Management in Smart Cities

Yi Liu Chao Yang Li Jiang Shengli Xie Yan Zhang

Abstrak

In recent years, green energy management systems (smart grid, smart buildings, and so on) have received huge research and industrial attention with the explosive development of smart cities. By introducing Internet of Things (IoT) technology, smart cities are able to achieve exquisite energy management by ubiquitous monitoring and reliable communications. However, long-term energy efficiency has become an important issue when using an IoT-based network structure. In this article, we focus on designing an IoT-based energy management system based on edge computing infrastructure with deep reinforcement learning. First, an overview of IoT-based energy management in smart cities is described. Then the framework and software model of an IoT-based system with edge computing are proposed. After that, we present an efficient energy scheduling scheme with deep reinforcement learning for the proposed framework. Finally, we illustrate the effectiveness of the proposed scheme.

Topik & Kata Kunci

Computer Science

Penulis (5)

Yi Liu

Chao Yang

Li Jiang

Shengli Xie

Yan Zhang

Format Sitasi

APA MLA BibTeX

Liu, Y., Yang, C., Jiang, L., Xie, S., Zhang, Y. (2019). Intelligent Edge Computing for IoT-Based Energy Management in Smart Cities. https://doi.org/10.1109/MNET.2019.1800254

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Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Total Sitasi: 425×
Sumber Database: Semantic Scholar
DOI: 10.1109/MNET.2019.1800254
Akses: Open Access ✓