Green internet of things using mobile cloud computing: architecture, applications, and future directions
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The proliferation of IoT-connected devices is largely responsible for the current era's unprecedented growth in data volume.
“The proliferation of IoT-connected devices is largely responsible for the current era's unprecedented growth in data volume [34].”
From Edge AI: A survey (2023) · cites this paper as [34]
Edge computing projects and proposals are distributed across academic, industry, and standardization activities, and standardization initiatives have been active since 2009.
“Edge Computing projects and proposals are distributed across academic, industry and standardization activities and standardization initiatives have been active since 2009 [34].”
From Edge AI: A survey (2023) · cites this paper as [34]
Edge Computing will be an enabling technology for future wireless systems when trying to meet challenging latency and data rate requirements of applications.
“Edge Computing will be an enabling technology for future wireless systems when trying to meet challenging latency and data rate requirements of applications [34].”
From Edge AI: A survey (2023) · cites this paper as [34]
Cites
Green IoT: An Investigation on Energy Saving Practices for 2020 and Beyond
Arshad, R., Zahoor, S., Shah, M. A., Wahid, A., & Yu, H. (2017) · IEEE Access · doi:10.1109/access.2017.2686092 · Cited by 372 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Singh, R., & Gill, S. S. (2023) · Internet of Things and Cyber-Physical Systems · doi:10.1016/j.iotcps.2023.02.004 · Cited by 572 · see citing works
Self-citation
- Authors
- Raychaudhuri, A., Mukherjee, A., De, D., & Gill, S. S.
- Affiliations
- Sarojini Naidu College for Women (IN)
- Maulana Abul Kalam Azad University of Technology, West Bengal (IN)
- Queen Mary University of London (GB)
- Corresponding author
- Raychaudhuri, Anindita
- Venue
- Green Mobile Cloud Computing
- Publisher
- Springer International Publishing
- Published
- 2022
- Pages
- 213-229
- OpenAlex
- W4312534716
- Cited by
- 3
- References
- 1
- Citations by year
- 2026: 1 · 2025: 1 · 2023: 1
- FWCI
- 1.64
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Keywords
- mobile cloud computing, Internet of Things, green computing, power efficiency, IoT applications, energy consumption, sensor data processing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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