Green Industrial Internet of Things Architecture: An Energy-Efficient Perspective

By Kun Wang, Yihui Wang, Yanfei Sun, Song Guo, Jinsong Wu. IEEE Communications Standards, 2016

382 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/88d9e51c67f3bf8afcc910b1ea7bdb42e1cf13e7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Giuseppe Aceto
2. Valerio Persico
3. Antonio Pescapè
4. Edmundo Roberto Mauro Madeira
5. Luiz Fernando Bittencourt
6. Jiawen Kang
7. Yan Zhang
8. Youssef Mourdi

In Electrical and Electronic Engineering

1. Yan Zhang
2. Jiawen Kang
3. Dongdong Ye
4. Shree Krishna Sharma
5. Rong Yu
6. Xianbin Wang
7. Zhetao Li
8. Dusist Niyato

Citations in the corpus

• Exploring the Full Potentials of IoT for Better Financial Growth and Stability: A Comprehensive Survey (2023, background): “Device manufacturers must prioritize the development of low-power components and sensors, leveraging technologies that allow devices to operate efficiently even in resource-constrained environments [125,139].”
• Consortium Blockchain for Secure Energy Trading in Industrial Internet of Things (2018, background): “I NDUSTRIAL Internet of Things (IIoT) has attracted enormous attention from academics and industries, which is a significant component of the future transformation of industrial systems [1], [2].”
• Toward Massive Machine Type Communications in Ultra-Dense Cellular IoT Networks: Current Issues and Machine Learning-Assisted Solutions (2018, background): “traffic load as well as elongate the system lifetime by utilizing energy-efficient mechanisms such as device sleep mode, sleep scheduling, and wake-up protocol [9].”
• A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges (2019, background): “Wang et al. [92] proposed a layered architecture for IIoT—comprising sensing entities RESTful services hosted by cloud servers (to improve integration and accessibility) and user applications—where sensing, processing, and communication optimizations can reduce energy consumption.”
• The Internet of Things, Fog and Cloud Continuum: Integration and Challenges (2018, background): “A variety of system architecture aspects for Industry 4.0 ecosystems that are built upon the Industrial Internet of Things are discussed in the literature; some indicative work can be found in [156, 157, 158, 159].”