Collaborative Edge Computing for Smart Villages [Energy and Security]
Abstract
The term "collaborative edge computing" is new. Edge computing is a crucial technology for the deployment of smart villages. Due to edge devices' resource constraint features, collaborative computing is a key challenge to borrow computational resources to meet demands of smart villages. This article gives first-hand experiences on collaborative edge computing and its use for smart villages.
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In TinyML, data processing is executed locally in the device, so IoT devices do not suffer from latency; real-time local processing leads to faster response and rapid analysis in emergency scenarios, and reduces burden on the cloud.
“In TinyML, data processing is executed locally in the device since the computations are performed in the device. Thus, IoT devices do not suffer from latency. The real-time local processing of data in the devices leads to faster response and rapid analysis in emergency scenarios. Besides this, the burden on the cloud is reduced [24,25].”
From TinyML: Enabling of Inference Deep Learning Models on Ultra-Low-Power IoT Edge Devices for AI Applications (2022) · cites this paper as [24]
Cites
The emergence of edge computing
Satyanarayanan, M. (2017) · Computer · doi:10.1109/mc.2017.9 · Cited by 2,832 · see citing works
Efficient multi-user computation offloading for mobile-edge cloud computing
Chen, X., Jiao, L., Li, W., & Fu, X. (2016) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2015.2487344 · Cited by 2,675 · see citing works
Everything you wanted to know about smart cities: the Internet of Things is the backbone
Mohanty, S. P., Choppali, U., & Kougianos, E. (2016) · IEEE Consumer Electronics Magazine · doi:10.1109/mce.2016.2556879 · Cited by 1,056 · see citing works
Self-citationSecure and Sustainable Load Balancing of Edge Data Centers in Fog Computing
Puthal, D., Obaidat, M. S., Nanda, P., et al. (2018) · IEEE Communications Magazine · doi:10.1109/mcom.2018.1700795 · Cited by 237 · see citing works
Self-citationEnabling Collaborative Edge Computing for Software Defined Vehicular Networks
Wang, K., Yin, H., Quan, W., & Min, G. (2018) · IEEE Network · doi:10.1109/mnet.2018.1700364 · Cited by 212 · see citing works
IoTChain: Establishing Trust in the Internet of Things Ecosystem Using Blockchain
Yu, B., Wright, J., Nepal, ., Zhu, L., Liu, J. K., & Ranjan, R. K. (2018) · IEEE Cloud Computing · doi:10.1109/mcc.2018.043221010 · Cited by 154 · see citing works
Fog Computing Security Challenges and Future Directions [Energy and Security]
Puthal, D., Mohanty, S. P., Bhavake, S. A., Morgan, G., & Ranjan, R. K. (2019) · IEEE Consumer Electronics Magazine · doi:10.1109/mce.2019.2893674 · Cited by 116 · see citing works
Self-citationEnergy Perspectives in IoT Driven Smart Villages and Smart Cities
Ram, S. K., Das, B. B., Mahapatra, K., et al. (2020) · IEEE Consumer Electronics Magazine · doi:10.1109/mce.2020.3023293 · Cited by 67 · see citing works
Internet-of-Things-Enabled SmartVillages: An Overview
Chanak, P., & Banerjee, I. (2020) · IEEE Consumer Electronics Magazine · doi:10.1109/mce.2020.3013244 · Cited by 48 · see citing works
A User-centric Security Solution for Internet of Things and Edge Convergence
Puthal, D., Yang, L. T., Dustdar, S., Wen, Z., Jun, S., Moorsel, A. V., & Ranjan, R. (2020) · ACM Transactions on Cyber-Physical Systems · doi:10.1145/3351882 · Cited by 19 · see citing works
Self-citation
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Alajlan, N. N., & Ibrahim, D. M. (2022) · Micromachines · doi:10.3390/mi13060851 · Cited by 224 · see citing works
“Besides this, the burden on the cloud is reduced [24,25].”
BackgroundClean‐label poisoning attacks on federated learning for <scp>IoT</scp>
Yang, J., Zheng, J., Baker, T., Tang, S., Tan, Y., & Zhang, Q. (2023) · Expert Systems · doi:10.1111/exsy.13161 · Cited by 20 · see citing works
- Authors
- Puthal, D., Mohanty, S., Wilson, S., & Choppali, U.
- Affiliations
- Newcastle University (GB)
- University of North Texas (US)
- Venue
- IEEE Consumer Electronics Magazine
- Published
- 2021-05-01
- Volume
- 10
- Issue
- 3
- Pages
- 68-71
- ISSN
- 2162-2248 (ISSN-L)
- 2162-2256
- OpenAlex
- W3122605355
- Cited by
- 46
- References
- 10
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 7 · 2023: 12 · 2022: 11 · 2021: 9
- FWCI
- 4.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Consumer Electronics Magazine (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- collaborative edge computing, edge computing, smart village, resource-constrained edge devices, computational resource sharing, energy efficiency, security (computing)
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