IEEE Transactions on Sustainable Computing

Papers
(The TQCC of IEEE Transactions on Sustainable Computing is 11. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)
ArticleCitations
Proof: Pre-Training Model of Malware Family Classification Based on Active Defense76
Container Session Level Traffic Prediction From Network Interface Usage68
Energy Allocation for Vehicle-to-Grid Settings: A Low-Cost Proposal Combining DRL and VNE59
Cost Efficient Sensor Positions Determination For Human Activity Recognition58
Hotspot Mitigation for Mobile Edge Computing57
Dynamic State Estimation for Synchronous Generator With Communication Constraints: An Improved Regularized Particle Filter Approach55
A Prototype-Empowered Kernel-Varying Convolutional Model for Imbalanced Sea State Estimation in IoT-Enabled Autonomous Ship54
Profit Maximization in a Federated Cloud by Optimal Workload Management and Server Speed Setting47
Carbon Emission Quantification of Machine Learning: A Review46
Binary Search-Based Fast Scheduling Algorithms for Reliability-Aware Energy-Efficient Task Graph Scheduling With Fault Tolerance42
A Distributed Data-Driven and Machine Learning Method for High-Level Causal Analysis in Sustainable IoT Systems42
Tensor and Minimum Connected Dominating Set Based Confident Information Coverage Reliability Evaluation for IoT38
Energy-Aware Real-Time Tasks Processing for FPGA-Based Heterogeneous Cloud37
Oracle Based Privacy-Preserving Cross-Domain Authentication Scheme35
Boosting Research for Carbon Neutral on Edge UWB Nodes Integration Communication Localization Technology of IoV35
Constrained Multiobjective Optimization for UAV-Assisted Mobile Edge Computing in Smart Agriculture: Minimizing Delay and Energy Consumption35
Understanding Container-Based Services Under Software Aging: Dependability and Performance Views33
Energy-Efficient Shop Scheduling Using Space-Cooperation Multi-Objective Optimization32
A Hybrid Accuracy- and Energy-Aware Human Activity Recognition Model in IoT Environment32
A Deep Policy Dynamic Programming Based Intelligent Data Routing Scheme for IoT-Enabled Wireless Sensor Networks31
Impacts of Increasing Temperature and Relative Humidity in Air-Cooled Tropical Data Centers31
Restoration-Aware Sleep Scheduling Framework in Energy Harvesting Internet of Things: A Deep Reinforcement Learning Approach30
Reliability/Performance-Aware Scheduling for Parallel Applications With Energy Constraints on Heterogeneous Computing Systems29
REPFS: Reliability-Ensured Personalized Function Scheduling in Sustainable Serverless Edge Computing27
Using Third-Party Auditor to Help Federated Learning: An Efficient Byzantine-Robust Federated Learning27
A TEG-Based Non-Intrusive Ultrasonic System for Autonomous Water Flow Rate Measurement27
Optimization of Data and Energy Migrations in Mini Data Centers for Carbon-Neutral Computing26
A Fast Heuristic for Improving the Energy Efficiency of Asymmetric VFI-Based Manycore Systems24
Design Workload Aware Data Collection Technique for IoT-enabled WSNs in Sustainable Smart Cities24
Improving Reliability and Sustainability of Hazard-Aware Cyber-Physical Systems24
Data Center Sustainability: Revisits and Outlooks24
A Fog-Centric Secure Cloud Storage Scheme23
Efficient Data Collection in IoT Networks Using Trajectory Encoded With Geometric Shapes22
Sustaining the Emergency Wireless Infrastructures With Differentiation-Landscape Based Energy Provisioning22
Enhancing Sustainability in LLM Training: Leveraging Federated Learning and Parameter-Efficient Fine-Tuning22
Emission-Aware Sustainable Energy Provision for 5G and B5G Mobile Networks20
Energy and Network Aware Workload Management for Geographically Distributed Data Centers20
CarbonTag: A Browser-Based Method for Approximating Energy Consumption of Online Ads20
Efficient Federated Learning via Adaptive Model Pruning for Internet of Vehicles With a Constrained Latency19
Advancements in Accelerating Deep Neural Network Inference on AIoT Devices: A Survey19
A Survey on Machine Learning for Geo-Distributed Cloud Data Center Management19
Safeguarding Patient Data-Sharing: Blockchain-Enabled Federated Learning in Medical Diagnostics19
Optimal Design and Orchestration of Mobile Edge Computing With Energy Awareness18
AOIFF: A Precise Attack Method for PLCs Based on Awareness of Industrial Field Information18
An Intrusion Detection and Identification System for Internet of Things Networks Using a Hybrid Ensemble Deep Learning Framework18
A Novel Key Agreement Protocol Applying Latin Square for Cloud Data Sharing18
Storage Scalability Oriented Segment Allocation Based on Cost Clustering in Sharding Blockchains17
A Study on the Energy Sustainability of Early Exit Networks for Human Activity Recognition17
Inference of Distribution Grids Based on Crowdsourced Grid Data and Drone Imagery17
Evaluating an Application Aware Distributed Dijkstra Shortest Path Algorithm in Hybrid Cloud/Edge Environments17
ChestBox: Enabling Fast State Sharing for Stateful Serverless Computing With State Functions17
Morph-GCNX: A Universal Architecture for High-Performance and Energy-Efficient Graph Convolutional Network Acceleration17
An Adaptive Energy-Aware Stochastic Task Execution Algorithm in Virtualized Networked Datacenters17
CPU Frequency Scaling Optimization in Sustainable Edge Computing16
Privacy-Preserving Distributed Economic Dispatch for Microgrids Based on Hybrid Privacy Strategies16
A Capacity-Price Game for Uncertain Renewables Resources16
Towards Energy-Efficient and Thermal-Aware Data Placement for Storage Clusters16
ATOM: AI-Powered Sustainable Resource Management for Serverless Edge Computing Environments16
Sustainable AI: Emerging Trends, Impacts, and Future Challenges16
Battery-Aware Workflow Scheduling for Portable Heterogeneous Computing16
Towards Privacy-Preserving and Practical Data Trading for Aggregate Statistic15
Shortest Paths Publishing With Differential Privacy15
A Safe Virtual Machine Scheduling Strategy for Energy Conservation and Privacy Protection of Server Clusters in Cloud Data Centers15
On the Robustness of Random Forest Against Untargeted Data Poisoning: An Ensemble-Based Approach14
Obstacle Adaptive Smooth Path Planning for Mobile Data Collector in the Internet of Things14
Adjustable Robust Optimization for Large-Scale Photovoltaics Planning in Smart Distribution Networks14
DNN-SNN Co-Learning for Sustainable Symbol Detection in 5G Systems on Loihi Chip14
Data-driven Software-based Power Estimation for Embedded Devices13
Cloud of Things (CoT): Cloud-Fog-IoT Task Offloading for Sustainable Internet of Things13
Dynamic Data Transaction in Crowdsensing Based on Multi-Armed Bandits and Shapley Value13
RMLIM: A Runtime Machine Learning Based Identification Model for Approximate Computing on Data Flow Graphs12
A Fog-Assisted Framework for Intelligent Video Preprocessing in Cloud-Based Video Surveillance as a Service12
HPC Data Center Participation in Demand Response: An Adaptive Policy With QoS Assurance12
A Survey of FPGA Optimization Methods for Data Center Energy Efficiency12
An Accuracy-Preserving Neural Network Compression via Tucker Decomposition12
Analysis of Transceiver RF Impairments on Artificial Noise Suppression in Frequency-Hopping Systems12
ARES: Reliable and Sustainable Edge Provisioning for Wireless Sensor Networks12
NAAFL: A Non-Authoritative Anarchic Federated Learning for Defending Against Malicious Attacks12
A Game Theoretic Approach to Computation Offloading Strategy Optimization for Non-cooperative Users in Mobile Edge Computing12
Blockchain-Based Personalized Federated Learning for Internet of Medical Things12
A Socially-Aware Dependent Tasks Offloading Strategy in Mobile Edge Computing12
2024 Reviewers List*11
Dynamic Slack-Sharing Learning Technique With DVFS for Real-Time Systems11
ARPS: An Autonomic Resource Provisioning and Scheduling Framework for Cloud Platforms11
SEED: QoS-Aware Sustainable Energy Distribution in Smart Grid11
DRLCAP: Runtime GPU Frequency Capping With Deep Reinforcement Learning11
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