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Green Internet of Things

Feature Topic


As a potential way to dramatically change how human beings work and live, the Internet of Things (IoT) aims to connect every “thing” (e.g., car, people, network) from the physical world, social world to cyber world and let every “thing” interact with each other (e.g., smart transportation, smart grid, smart manufacturing). Since the appearance of the concept of IoT, it is attracting tremendous attention from the academia, industry and government. Championing the IoT concept, IoT is even considered by enthusiasts as the world's third wave of the information industry evolution after the inventions of computer and Internet. However, the greenness of IoT is crucial for the success of IoT. Specifically, various things (e.g., sensor devices, mobile phone terminals, cloud computing systems) in IoT are consuming a large amount of energy. Moreover, the connection of things (e.g., RFID network, GPS network, 5G network) in IoT is with substantial energy consumption. Finally, the interaction of things (e.g., data sensing, data communications, data computing) in IoT needs a lot of energy. In particular, with the prevalence of mobile devices, electronic devices, cameras, social networks, social media, etc., our world is generating big data and multimedia big data, which further aggregate the energy demand in terms of the data transmission of IoT.

Therefore, the aim of this feature topic (FT) is to solicit original papers with novel contributions on the greenness of IoT, from the perspective of energy efficiency. Contributions by the applications of emerging technologies (e.g., social computing, big data computing, fog computing, edge computing, emotional computing, software defined networks) to address the greenness issue of IoT are also welcome.

Topics of interest include (but are not limited to):

  • Energy-efficient sensing for green IoT
  • Energy-efficient cloud computing for green IoT
  • Energy-efficient RFID for green IoT
  • Energy-efficient 5G for green IoT
  • Energy-efficient communication for green IoT
  • Energy-efficient data center for green IoT
  • Energy-efficient cyber-physical systems for green IoT
  • Social computing for green IoT
  • Big data computing for green IoT
  • Fog computing for green IoT
  • Edge computing for green IoT
  • Emotional computing for green IoT
  • Software-defined networks for green IoT
  • Middleware for green IoT
  • Testbeds for green IoT
  • Novel applications for green IoT


Lei Shu
Nanjing Agricultural University, China & University of Lincoln, UK

Chunsheng Zhu
The University of British Columbia, Canada

Vincenzo Piuri
Universita' degli Studi di Milano, Italy

Joel J. P. C. Rodrigues
National Institute of Telecommunications, Brazil; Instituto de Telecomunicações, Portugal

Arun Vishwanath
IBM Research, Australia