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Cited by 494

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Green Internet of Things for Smart World

Open access
Zhu, Chunsheng, Leung, Victor C. M., Shu, Lei, Ngai, Edith C.-H.·2015·IEEE Access

Abstract

Smart world is envisioned as an era in which objects (e.g., watches, mobile phones, computers, cars, buses, and trains) can automatically and intelligently serve people in a collaborative manner. Paving the way for smart world, Internet of Things (IoT) connects everything in the smart world. Motivated by achieving a sustainable smart world, this paper discusses various technologies and issues regarding green IoT, which further reduces the energy consumption of IoT. Particularly, an overview regarding IoT and green IoT is performed first. Then, the hot green information and communications technologies (ICTs) (e.g., green radio-frequency identification, green wireless sensor network, green cloud computing, green machine to machine, and green data center) enabling green IoT are studied, and general green ICT principles are summarized. Furthermore, the latest developments and future vision about sensor cloud, which is a novel paradigm in green IoT, are reviewed and introduced, respectively. Finally, future research directions and open problems about green IoT are presented. Our work targets to be an enlightening and latest guidance for research with respect to green IoT and smart world.

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Metadata

Authors
Zhu, C., Leung, V. C. M., Shu, L., & Ngai, E. C.-H.
Venue
IEEE Access
Published
2015
Volume
3
Pages
2151-2162
ISSN
2169-3536 (ISSN-L)
OpenAlex
W2167505895
Cited by
494
References
2
FWCI
23.26
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Green Internet of Things for Smart World. https://app.cochat.ai/papers/10.1109/access.2015.2497312
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Zhu, C., Leung, V. C. M., Shu, L., & Ngai, E. C.-H. (2015). Green Internet of Things for Smart World. IEEE Access. https://doi.org/10.1109/access.2015.2497312

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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