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=== References === # Shi, Weisong (2020). "Edge computing: Vision and challenges". ''IEEE Internet of Things Journal'', 7(5): 4238β4260. # Satyanarayanan, Mahadev (2019). "The Emergence of Edge Computing". ''Computer'', 52(8): 30β39. # Abdollahi, Ali (2019). "Environmental implications of micro data centers: A case study". ''Sustainability'', 11(10): 2728. # Xu, Lili (2019). "Energy-efficient SoC design for IoT edge devices". ''IEEE Transactions on Circuits and Systems I: Regular Papers'', 66(8): 2952β2963. # Mendez, Carlos (2020). "Heterogeneous multicore edge processors for power-aware embedded systems". ''ACM Transactions on Design Automation of Electronic Systems'', 25(6): Article 40. # Ramesh, K. (2022). "Low-power AI accelerators for on-device computer vision". ''IEEE Transactions on Circuits and Systems for Video Technology'', 32(2): 360β372. # Bae, Seunghyun (2021). "Sustainable manufacturing of edge devices: A holistic analysis". ''Journal of Manufacturing Systems'', 60: 426β439. # Kim, Hyunsu (2023). "Biologically inspired materials for enhanced cooling in edge devices". ''Nature Electronics'', 6(2): 153β164. # Liu, Qian (2019). "Liquid cooling in micro data centers at the edge: A quantitative study". ''IEEE Transactions on Industrial Informatics'', 15(10): 5551β5561. # Wan, Jiafu (2018). "Dynamic voltage and frequency scaling for real-time systems in edge computing". ''Journal of Parallel and Distributed Computing'', 119: 29β40. # Martinez, Daniel (2021). "Reinforcement learning-based DVFS control for energy-efficient edge nodes". ''IEEE Transactions on Sustainable Computing'', 6(3): 403β414. # Li, Guanyu (2019). "Multi-objective task scheduling for heterogeneous IoT gateways in edge computing". ''Future Generation Computer Systems'', 100: 223β238. # Zhang, Fan (2022). "Partial offloading of convolutional neural networks in edge computing environments". ''IEEE Transactions on Industrial Electronics'', 69(9): 8957β8967. # Hassan, Ahmed (2021). "Performance and energy analysis of containerization in edge micro data centers". ''IEEE Access'', 9: 79028β79039. # Moreno, Juan (2023). "Kubernetes-based energy-aware orchestration for edge computing". ''ACM Transactions on Internet Technology'', 23(1): Article 5. # Chiang, Mung (2018). "Fog and IoT: An overview of research opportunities". ''IEEE Internet of Things Journal'', 5(4): 2451β2461. # Yang, Yifan (2023). "Carbon-intensity-aware workload placement in hybrid edge-fog-cloud environments". ''IEEE Transactions on Cloud Computing'', 11(2): 548β561. # Qiu, Xiaobo (2020). "Adaptive sleep-mode protocols for 5G base stations in edge scenarios". ''IEEE Transactions on Green Communications and Networking'', 4(3): 670β683. # Nguyen, Tuan (2021). "Collaborative workload consolidation for green edge computing". ''IEEE Transactions on Sustainable Computing'', 6(4): 998β1009. # Tang, Wei (2019). "AI-driven power management in IoT edge devices using deep Q-networks". ''Sensors'', 19(18): 4043. # He, Sheng (2022). "Federated learning for energy efficiency in edge networks: A novel predictive approach". ''Computer Networks'', 202: 108614. # White, Robert (2020). "Standardizing carbon footprint metrics in edge computing infrastructures". ''IEEE Communications Standards Magazine'', 4(3): 12β19. # Gao, Yuan (2023). "Regional regulations and compliance for edge energy efficiency: Framework and insights". ''IEEE Transactions on Sustainable Computing'', 8(2): 546β560. # Johnson, Tyler (2021). "Incentivizing low-power edge deployments through carbon credits and tax reductions". ''IEEE Transactions on Industrial Informatics'', 17(9): 6402β6413. # Schaefer, Vanessa (2022). "Green labels for IoT devices: Consumer awareness and adoption". ''Electronic Markets'', 32(3): 1041β1056. # Devic, Aleksandar (2024). "Eco-design in edge hardware: Modular battery packs and real-time energy monitoring". ''IEEE Transactions on Components, Packaging and Manufacturing Technology'', 14(3): 312β324. # Sakr, Mahmoud (2020). "A game-theoretic approach to minimizing energy consumption via offloading in edge-cloud environments". ''IEEE Transactions on Mobile Computing'', 19(11): 2624β2638. # Du, Shengnan (2019). "Life cycle analysis of IoT devices: Energy, emissions, and disposal". ''Journal of Cleaner Production'', 231: 341β350.
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