Multi-tier computing networks for intelligent IoT

Fog and IoT: An Overview of Research Opportunities

Chiang, M., & Zhang, T. (2016) · IEEE Internet of Things Journal · doi:10.1109/jiot.2016.2584538 · Cited by 2,362 · see citing works

Fog Orchestration for Internet of Things Services

Wen, Z., Yang, R., Garraghan, P., Lin, T., Xu, J., & Rovatsos, M. (2017) · IEEE Internet Computing · doi:10.1109/mic.2017.36 · Cited by 339 · see citing works

Architectural Imperatives for Fog Computing: Use Cases, Requirements, and Architectural Techniques for Fog-Enabled IoT Networks

Byers, C. C. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1600885 · Cited by 194 · see citing works

MEETS: Maximal Energy Efficient Task Scheduling in Homogeneous Fog Networks

Yang, Y., Wang, K., Zhang, G., Chen, X., Luo, X., & Zhou, M. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2846644 · Cited by 190 · see citing works

DEBTS: Delay Energy Balanced Task Scheduling in Homogeneous Fog Networks

Yang, Y., Zhao, S., Zhang, W., Chen, Y., Luo, X., & Wang, J. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2823000 · Cited by 164 · see citing works

Fog as a Service Technology

Chen, N., Yang, Y., Zhang, T., Zhou, M., Luo, X., & Zao, J. K.-K. (2018) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1700465 · Cited by 86 · see citing works

FEMOS: Fog-Enabled Multitier Operations Scheduling in Dynamic Wireless Networks

Zhao, S., Yang, Y., Shao, Z., Yang, X., Qian, H. L., & Wang, C. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2808280 · Cited by 71 · see citing works

Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts

You, X., Wang, C., Huang, J., Gao, X., Zhang, Z., Wang, M., Huang, Y., Zhang, C., Jiang, Y., Wang, J., et al. (2020) · Science China Information Sciences · doi:10.1007/s11432-020-2955-6 · Cited by 2,058 · see citing works

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

Wang, X., Han, Y., Leung, V. C. M., Niyato, D., Yan, X., & Chen, X. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2970550 · Cited by 1,498 · see citing works

Integration of IoT-Enabled Technologies and Artificial Intelligence (AI) for Smart City Scenario: Recent Advancements and Future Trends

Alahi, M. E. E., Sukkuea, A., Tina, F. W., Nag, A., Kurdthongmee, W., Suwannarat, K., & Mukhopadhyay, S. C. (2023) · Sensors · doi:10.3390/s23115206 · Cited by 740 · see citing works

Holistic Network Virtualization and Pervasive Network Intelligence for 6G

Shen, X., Gao, J., Wu, W. R., Li, M., Zhou, C., & Zhuang, W. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3135829 · Cited by 395 · see citing works

Space-Air-Ground Integrated Wireless Networks for 6G: Basics, Key Technologies, and Future Trends

Xiao, Y., Ye, Z., Wu, M., Li, H., Xiao, M., Alouini, M., Al‐Hourani, A., & Cioni, S. (2024) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2024.3492720 · Cited by 235 · see citing works

The fog cloud of things: A survey on concepts, architecture, standards, tools, and applications

Alli, A. A., & Alam, M. M. (2020) · Internet of Things · doi:10.1016/j.iot.2020.100177 · Cited by 158 · see citing works

Dependent Task Scheduling and Offloading for Minimizing Deadline Violation Ratio in Mobile Edge Computing Networks

Liu, S., Yu, Y., Lian, X., Feng, Y., She, C., Yeoh, P. L., Guo, L., Vucetic, B. S., & Li, Y. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3233532 · Cited by 152 · see citing works

Deep Reinforcement Learning Based Computation Offloading and Trajectory Planning for Multi-UAV Cooperative Target Search

Luo, Q., Luan, T. H., Shi, W., & Fan, P. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3228558 · Cited by 144 · see citing works

IRS Aided MEC Systems With Binary Offloading: A Unified Framework for Dynamic IRS Beamforming

Chen, G., Wu, Q., Liu, R., Wu, J., & Fang, C. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3228605 · Cited by 133 · see citing works

In-sensor image memorization and encoding via optical neurons for bio-stimulus domain reduction toward visual cognitive processing

Lee, D., Park, M., Baek, Y., Bae, B., Heo, J., & Lee, K. (2022) · Nature Communications · doi:10.1038/s41467-022-32790-3 · Cited by 133 · see citing works

Toward immersive communications in 6G

Shen, X. (., Gao, J., Li, M., Zhou, C., Hu, S., He, M., & Zhuang, W. (2023) · Frontiers in Computer Science · doi:10.3389/fcomp.2022.1068478 · Cited by 124 · see citing works

Recent progress in aqueous based flexible energy storage devices

Song, W., Lee, S., Song, G., Son, H. B., Han, D., Jeong, I., Bang, Y. H., & Park, S. (2020) · Energy storage materials · doi:10.1016/j.ensm.2020.05.006 · Cited by 121 · see citing works

Joint C-V2X Based Offloading and Resource Allocation in Multi-Tier Vehicular Edge Computing System

Feng, W., Lin, S., Zhang, N., Wang, G., Ai, B., & Cai, L. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3227081 · Cited by 119 · see citing works

Wearable Triboelectric Nanogenerator from Waste Materials for Autonomous Information Transmission via Morse Code

Dudem, B., Dharmasena, R. D. I. G., Riaz, R., Vivekananthan, V., Wijayantha, K. G. U., Lugli, P., Petti, L., & Silva, S. R. P. (2022) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.1c20984 · Cited by 107 · see citing works

6G Network AI Architecture for Everyone-Centric Customized Services

Yang, Y., Ma, M., Wu, H., Yu, Q., You, X., Wu, J., Peng, C., Yum, T.-S. P., Aghvami, A. H., Li, G. Y., et al. (2022) · IEEE Network · doi:10.1109/mnet.124.2200241 · Cited by 109 · see citing works

Scalable massively parallel computing using continuous-time data representation in nanoscale crossbar array

Wang, C., Liang, S.-J., Wang, C.-Y., Yang, Z.-Z., Ge, Y., Pan, C., Shen, X., Wei, W., Zhao, Y., Zhang, Z., et al. (2021) · Nature Nanotechnology · doi:10.1038/s41565-021-00943-y · Cited by 107 · see citing works

Federated Deep Reinforcement Learning for Recommendation-Enabled Edge Caching in Mobile Edge-Cloud Computing Networks

Sun, C., Li, X., Wen, J., Wang, X., Han, Z., & Leung, V. C. M. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2023.3235443 · Cited by 107 · see citing works

NOMA-Aided Joint Communication, Sensing, and Multi-Tier Computing Systems

Wang, Z., Mu, X., Liu, Y., Xu, X., & Zhang, P. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3229447 · Cited by 101 · see citing works

Task Offloading With Multi-Tier Computing Resources in Next Generation Wireless Networks

Wang, K., Jin, J., Yang, Y., Zhang, T., Nallanathan, A., Tellambura, C., & Jabbari, B. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3227102 · Cited by 95 · see citing works

Parallel perception of visual motion using light-tunable memory matrix

Pan, X., Shi, J., Wang, P., Wang, S., Pan, C., Yu, W., Cheng, B., Liang, S., & Miao, F. (2023) · Science Advances · doi:10.1126/sciadv.adi4083 · Cited by 94 · see citing works

Multi-Tier Hybrid Offloading for Computation-Aware IoT Applications in Civil Aircraft-Augmented SAGIN

Chen, Q., Meng, W., Quek, T. Q. S., & Chen, S. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3227031 · Cited by 92 · see citing works

POMT: Paired Offloading of Multiple Tasks in Heterogeneous Fog Networks

Yang, Y., Liu, Z., Yang, X., Wang, K., Hong, X., & Ge, X. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2922324 · Cited by 90 · see citing works

Cyber–Physiochemical Interfaces

Wang, T., Wang, M., Yang, L., Li, Z., Loh, X. J., & Chen, X. (2020) · Advanced Materials · doi:10.1002/adma.201905522 · Cited by 89 · see citing works

Adaptation in Edge Computing: A Review on Design Principles and Research Challenges

Golpayegani, F., Chen, N., Afraz, N., Gyamfi, E., Malekjafarian, A., Schäfer, D., & Krupitzer, C. (2024) · ACM Transactions on Autonomous and Adaptive Systems · doi:10.1145/3664200 · Cited by 92 · see citing works

Online Task Scheduling and Resource Allocation for Intelligent NOMA-Based Industrial Internet of Things

Wang, K., Zhou, Y., Liu, Z., Shao, Z., Luo, X., & Yang, Y. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.2980908 · Cited by 81 · see citing works

Triboelectric Nanosensor Integrated with Robotic Platform for Self-Powered Detection of Chemical Analytes

Barman, S. R., Lin, Y.-J., Lee, K., Pal, A., Tiwari, N., Lee, S., & Lin, Z. (2023) · ACS Nano · doi:10.1021/acsnano.2c10770 · Cited by 81 · see citing works

Shift to 6G: Exploration on trends, vision, requirements, technologies, research, and standardization efforts

Dhinesh Kumar, R., & Chavhan, S. (2022) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2022.102666 · Cited by 76 · see citing works

Multi-Target-Aware Dynamic Resource Scheduling for Cloud-Fog-Edge Multi-Tier Computing Network

Zhang, P., Chen, N., Xu, G., Kumar, N., Barnawi, A., Guizani, M., Duan, Y., & Yu, K. (2023) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2023.3330419 · Cited by 73 · see citing works

User Scheduling and Task Offloading in Multi-Tier Computing 6G Vehicular Network

Zhang, H., Feng, L., Liu, X., Long, K., & Karagiannidis, G. K. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3227097 · Cited by 72 · see citing works

Imitation Learning-Based Implicit Semantic-Aware Communication Networks: Multi-Layer Representation and Collaborative Reasoning

Xiao, Y. L., Sun, Z., Shi, G., & Niyato, D. T. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3229419 · Cited by 72 · see citing works

BLOT: Bandit Learning-Based Offloading of Tasks in Fog-Enabled Networks

Zhu, Z., Liu, T., Yang, Y., & Luo, X. (2019) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2019.2927978 · Cited by 68 · see citing works

Soft Human–Machine Interface Sensing Displays: Materials and Devices

Yu, S., Park, T. H., Jiang, W., Lee, S. W., Kim, E. H., Lee, S., Park, J., & Park, C. (2022) · Advanced Materials · doi:10.1002/adma.202204964 · Cited by 66 · see citing works

Underwater Pollution Tracking Based on Software-Defined Multi-Tier Edge Computing in 6G-Based Underwater Wireless Networks

Lin, C., Han, G., Jiang, J., Li, C., Shah, S. B. H., & Liu, Q. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3233625 · Cited by 65 · see citing works

Towards integrated textile display systems

Wang, Z., Liu, Y., Zhou, Z., Chen, P., & Peng, H. (2024) · Nature Reviews Electrical Engineering · doi:10.1038/s44287-024-00063-4 · Cited by 61 · see citing works

Learning-Based Task Offloading for Delay-Sensitive Applications in Dynamic Fog Networks

Wang, K., Tan, Y., Shao, Z., Ci, S., & Yang, Y. (2019) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2019.2943647 · Cited by 59 · see citing works

Bionic optical physical unclonable functions for authentication and encryption

Wan, Y., Wang, P., Huang, F., Yuan, J., Li, D., Chen, K., Kang, J., Li, Q., Zhang, T., Sun, S., et al. (2021) · Journal of Materials Chemistry C · doi:10.1039/d1tc02883a · Cited by 58 · see citing works

Low-Latency Federated Learning With DNN Partition in Distributed Industrial IoT Networks

Deng, X., Li, J., Ma, C., Wei, K., Shi, L. X., Ding, M., & Chen, W. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3229436 · Cited by 58 · see citing works

GNN at the Edge: Cost-Efficient Graph Neural Network Processing Over Distributed Edge Servers

Zeng, L., Yang, C., Huang, P., Zhou, Z., Yu, S., & Chen, X. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3229422 · Cited by 58 · see citing works

Alternating Current Electroluminescence for Human‐Interactive Sensing Displays

Jiang, W., Lee, S., Zan, G., Zhao, K., & Park, C. (2023) · Advanced Materials · doi:10.1002/adma.202304053 · Cited by 63 · see citing works

Nanosystems, Edge Computing, and the Next Generation Computing Systems

Passian, A., & Imam, N. (2019) · Sensors · doi:10.3390/s19184048 · Cited by 60 · see citing works

Collaborative Cache-Aided Relaying Networks: Performance Evaluation and System Optimization

Tang, S., He, K., Chen, L., Fan, L., Lei, X., & Hu, R. Q. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2023.3234693 · Cited by 55 · see citing works

Upconversion Nanoparticles Based Sensing: From Design to Point‐of‐Care Testing

Wu, J., Wu, J., Wei, W., Zhang, Y., & Chen, Q. (2024) · Small · doi:10.1002/smll.202311729 · Cited by 54 · see citing works

A Flexible Bidirectional Fiber-FSO-5G Wireless Convergent System

Li, C.-Y., Lu, H., Chou, C.-R., Hsia, H.-M., Feng, C.-Y., Chen, Y., Huang, Y., & Nainggolan, A. (2020) · Journal of Lightwave Technology · doi:10.1109/jlt.2020.3037943 · Cited by 55 · see citing works

Lab-on-a-Fish: Wireless, Miniaturized, Fully Integrated, Implantable Biotelemetric Tag for Real-Time In Vivo Monitoring of Aquatic Animals

Yang, Y., Lu, J., Pflugrath, B., Li, H., Martinez, J., Regmi, S., Wu, B.-B., Xiao, J., & Deng, Z. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3126614 · Cited by 38 · see citing works

OSTTD: Offloading of Splittable Tasks With Topological Dependence in Multi-Tier Computing Networks

Zhang, R., Chu, X., Ma, R., Zhang, M., Lin, L., Gao, H., & Guan, H. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3227023 · Cited by 48 · see citing works

Intelligent block copolymer self-assembly towards IoT hardware components

Yang, G. G., Choi, H. J., Li, S., Kim, J. H., Kwon, K., Jin, H. M., Kim, B. H., & Kim, S. O. (2024) · Nature Reviews Electrical Engineering · doi:10.1038/s44287-024-00017-w · Cited by 48 · see citing works

Flexible multifunctional platform based on piezoelectric acoustics for human–machine interaction and environmental perception

Zhang, Q., Wang, Y., Li, D., Xie, J., Tao, R., Luo, J., Dai, X., Torun, H., Wu, Q., Ng, W. P., et al. (2022) · Microsystems & Nanoengineering · doi:10.1038/s41378-022-00402-1 · Cited by 45 · see citing works

JOTE: Joint Offloading of Tasks and Energy in Fog-Enabled IoT Networks

Cai, P., Yang, F., Wang, J., Wu, X., Yang, Y., & Luo, X. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2964951 · Cited by 45 · see citing works

Heat storage thermoelectric generator as an electrical power source for wireless Iot sensing systems

Tươi, T. T. K., Toàn, N. V., & Ono, T. (2021) · International Journal of Energy Research · doi:10.1002/er.6774 · Cited by 43 · see citing works

Mechanically Durable Memristor Arrays Based on a Discrete Structure Design

Wang, T., Cui, Z., Liu, Y., Lu, D., Wang, M., Wan, C., Leow, W. R., Wang, C., Pan, L., Cao, X., et al. (2022) · Advanced Materials · doi:10.1002/adma.202106212 · Cited by 42 · see citing works

EiF: Toward an Elastic IoT Fog Framework for AI Services

An, J., Li, W., Gall, F. L., Kovac, E., Kim, J., Taleb, T., & Song, J. (2019) · IEEE Communications Magazine · doi:10.1109/mcom.2019.1800215 · Cited by 40 · see citing works

Digital Twin and Meta RL Empowered Fast-Adaptation of Joint User Scheduling and Task Offloading for Mobile Industrial IoT

Xu, H., Wu, J., Pan, Q., Liu, X., & Verikoukis, C. V. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2023.3310081 · Cited by 38 · see citing works

A novel deep learning approach using blurring image techniques for Bluetooth-based indoor localisation

Talla-Chumpitaz, R., Castillo‐Cara, M., Orozco–Barbosa, L., & García‐Castro, R. (2022) · Information Fusion · doi:10.1016/j.inffus.2022.10.011 · Cited by 35 · see citing works

Overview of the Integration of Communications, Sensing, Computing, and Storage as Enabling Technologies for the Metaverse over 6G Networks

Zhang, L., Du, Q., Lu, L., & Zhang, S. (2023) · Electronics · doi:10.3390/electronics12173651 · Cited by 35 · see citing works

Intelligent Reflecting Surface Backscatter Enabled Multi-Tier Computing for 6G Internet of Things

Xu, S., Liu, J., Kato, N., & Du, Y. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3231861 · Cited by 36 · see citing works

Integrating Satellites and Mobile Edge Computing for 6G Wide-Area Edge Intelligence: Minimal Structures and Systematic Thinking

Lin, Y., Feng, W., Zhou, T., Wang, Y., Chen, Y., Ge, N., & Wang, C. (2023) · IEEE Network · doi:10.1109/mnet.004.2200405 · Cited by 35 · see citing works

FORESEEN: Towards Differentially Private Deep Inference for Intelligent Internet of Things

Lyu, L., Bezdek, J. C., Jin, J., & Yang, Y. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3000374 · Cited by 34 · see citing works

Multi-Functional Time Expanded Graph: A Unified Graph Model for Communication, Storage, and Computation for Dynamic Networks Over Time

Liu, W., Yang, H., & Li, J. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3233533 · Cited by 33 · see citing works

An Infrared Near‐Sensor Reservoir Computing System Based on Large‐Dynamic‐Space Memristor with Tens of Thousands of States for Dynamic Gesture Perception

Wang, J., Pan, X., Zhao, Z., Xie, Y., Luo, W., Xie, Q., Zeng, H., Shuai, Y., Song, Z., Wu, C., et al. (2023) · Advanced Science · doi:10.1002/advs.202307359 · Cited by 31 · see citing works

Satellite-MEC Integration for 6G Internet of Things: Minimal Structures, Advances, and Prospects

Lin, Y., Feng, W., Wang, Y., Chen, Y., Zhu, Y., Zhang, X., Ge, N., & Gao, Y. (2024) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2024.3418860 · Cited by 32 · see citing works

EdgeMatrix : A Resource-Redefined Scheduling Framework for SLA-Guaranteed Multi-Tier Edge-Cloud Computing Systems

Shen, S., Ren, Y., Ju, Y., Wang, X., Wang, W., & Leung, V. C. M. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3229444 · Cited by 33 · see citing works

Toward smart diagnosis of pandemic infectious diseases using wastewater-based epidemiology

Mahmoudi, T., Naghdi, T., Morales‐Narváez, E., & Golmohammadi, H. (2022) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2022.116635 · Cited by 31 · see citing works

BlockSIEM: Protecting Smart City Services through a Blockchain-based and Distributed SIEM

Botello, J. V., Mesa, A. P., Rodríguez, F. A., Díaz-López, D., Nespoli, P., & Mármol, F. G. (2020) · Sensors · doi:10.3390/s20164636 · Cited by 30 · see citing works

Enhancing Resilience in Mobile Edge Computing Under Processing Uncertainty

Li, S., Li, C., Huang, Y., Jalaian, B. A., Hou, Y. T., & Lou, W. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2023.3234706 · Cited by 30 · see citing works

Task-Oriented 6G Native-AI Network Architecture

Yang, Y., Wu, J., Chen, T., Peng, C., Wang, J., Deng, J., Tao, X., Liu, G., Li, W., Li, Y., et al. (2023) · IEEE Network · doi:10.1109/mnet.2023.3321464 · Cited by 29 · see citing works

Internet of Things as Complex Networks

Wu, X., Wang, J., Li, P., Luo, X., & Yang, Y. (2021) · IEEE Network · doi:10.1109/mnet.011.2000537 · Cited by 31 · see citing works

PDD: Partitioning DAG-Topology DNNs for Streaming Tasks

Wu, L., Gao, G., Yu, J., Zhou, F., Yang, Y., & Wang, T. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3323520 · Cited by 29 · see citing works

All-Optically Controlled Memristive Device Based on Cu 2 O/TiO 2 Heterostructure Toward Neuromorphic Visual System

Xie, J., Shan, X., Zou, N., Lin, Y., Wang, Z., Tao, Y., Zhao, X., Xu, H., & Liu, Y. (2024) · Research · doi:10.34133/research.0580 · Cited by 27 · see citing works

Bayesian Over-the-Air Computation

Shao, Y., Gündüz, D., & Liew, S. C. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3229428 · Cited by 27 · see citing works

UnIC: Towards unmanned intelligent clusters and their integration into society

Zhang, F., Yu, J., Lin, D., & Zhang, J. (2022) · Engineering · doi:10.1016/j.eng.2022.02.008 · Cited by 20 · see citing works

Memory‐Processing‐Display Integrated Hardware with All‐In‐One Structure for Intelligent Image Processing

Shan, L., Yu, R., Chen, Z., Zhang, X., Gao, C., Lian, M., Hu, Y., Guo, T., & Chen, H. (2024) · Advanced Functional Materials · doi:10.1002/adfm.202315584 · Cited by 25 · see citing works

A PDM-based bi-directional fibre-FSO integration with two RSOAs scheme

Tsai, W.-S., Lu, H., Huang, Y.-C., Tu, S.-C., & Huang, Q.-P. (2019) · Scientific Reports · doi:10.1038/s41598-019-44904-x · Cited by 25 · see citing works

Timeliness of Information for Computation-Intensive Status Updates in Task-Oriented Communications

Qin, X., Li, Y., Song, X., Ma, N., Huang, C. Z., & Zhang, P. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3229431 · Cited by 25 · see citing works

Multi-objective optimization for task offloading based on network calculus in fog environments

Ren, Q., Liu, K., & Zhang, L. (2021) · Digital Communications and Networks · doi:10.1016/j.dcan.2021.09.012 · Cited by 24 · see citing works

Revenue Maximizing Online Service Function Chain Deployment in Multi-Tier Computing Network

Liu, H., Long, S., Li, Z., Fu, Y., Zuo, Y., & Zhang, X. (2022) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2022.3232205 · Cited by 24 · see citing works

Digital-Twin-Based 3-D Map Management for Edge-Assisted Device Pose Tracking in Mobile AR

Zhou, C., Gao, J., Li, M., Cheng, N., Shen, X., & Zhuang, W. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3360414 · Cited by 23 · see citing works

Enhancing Sustainable Edge Computing Offloading via Renewable Prediction for Energy Harvesting

Alhartomi, M. A., Salh, A., Audah‏, L., Alzahrani, S., & Alzahmi, A. (2024) · IEEE Access · doi:10.1109/access.2024.3404222 · Cited by 23 · see citing works

Deep reinforcement learning in edge networks: Challenges and future directions

Hazra, A., Tummala, V. M. R., Mazumdar, N., Sah, D. K., & Adhikari, M. (2024) · Physical Communication · doi:10.1016/j.phycom.2024.102460 · Cited by 23 · see citing works

Improved Sequencing Heuristic DSDV Protocol Using Nomadic Mobility Model for FANETS

Khan, I. U., Hassan, M. A., Fayaz, M., Gwak, J., & Aziz, M. A. (2021) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2022.020697 · Cited by 21 · see citing works

Kubeedge Wireless for Integrated Communication and Computing Services Everywhere

Yang, T., Ning, J., Lan, D., Zhang, J., Yang, Y., Wang, X., & Taherkordi, A. (2022) · IEEE Wireless Communications · doi:10.1109/mwc.004.2100038 · Cited by 21 · see citing works

Satellite-Enabled Internet of Remote Things Network Transmits Field Data from the Most Remote Areas of the Tibetan Plateau

Chen, Y., Zhang, M., Li, X., Che, T., Jin, R., Guo, J., Yang, W., An, B., & Nie, X. (2022) · Sensors · doi:10.3390/s22103713 · Cited by 20 · see citing works

Dynamic Clustering and Power Control for Two-Tier Wireless Federated Learning

Guo, W. M., Huang, C. Z., Qin, X., Yang, L. X., & Zhang, W. (2023) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2023.3288606 · Cited by 20 · see citing works

A Multi-tier Cost Model for Effective User Scheduling in Fog Computing Networks

Liu, Z., Yang, Y., Chen, Y., Li, K., Li, Z., & Luo, X. (2019) · IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) · doi:10.1109/infcomw.2019.8845252 · Cited by 20 · see citing works

In-sensor multilevel image adjustment for high-clarity contour extraction using adjustable synaptic phototransistors

Kwon, J. I., Kim, J. S., Seung, H., Kim, J., Cho, H., Choi, T.-M., Park, J., Park, J., Lim, J. A., Choi, M. K., et al. (2025) · Science Advances · doi:10.1126/sciadv.adt6527 · Cited by 19 · see citing works

All‐In‐One Neuromorphic Light‐Emitting Memristor for Infrared Image Visualization and Recognition

Pan, Y., Wu, C., Bu, G., Xiang, C., Wu, R. Z., Hu, H., Guo, T., & Li, F. (2025) · Advanced Functional Materials · doi:10.1002/adfm.202505174 · Cited by 19 · see citing works

FlocOff: Data Heterogeneity Resilient Federated Learning With Communication-Efficient Edge Offloading

Ma, M., Gong, C., Zeng, L., Yang, Y., & Wu, L. (2024) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2024.3431526 · Cited by 19 · see citing works

Quantum-Assisted Online Task Offloading and Resource Allocation in MEC-Enabled Satellite-Aerial-Terrestrial Integrated Networks

Zhang, Y., Gong, Y., Fan, L., Wang, Y., Han, Z., & Guo, Y. (2024) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2024.3519060 · Cited by 19 · see citing works

Satellite-Terrestrial Assisted Multi-Tier Computing Networks With MIMO Precoding and Computation Optimization

Ding, C., Wang, J.-B., Chen, Y., Yu, H., Cheng, M., Lin, M., & Wang, J. (2023) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2023.3311104 · Cited by 17 · see citing works

Adaptive Training and Aggregation for Federated Learning in Multi-Tier Computing Networks

Hou, W., Wen, H., Zhang, N., Lei, W., Lin, H., Han, Z., Liu, Q., & Tian, W. (2023) · Elsevier eBooks · doi:10.1016/b978-0-44-344433-3.00020-4 · Cited by 17 · see citing works

Service Routing in Multi-Tier Edge Computing: A Matching Game Approach

Wang, S., Guo, Y., Liu, X., & Zhou, A. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3229378 · Cited by 15 · see citing works

Model-ML Integrated Intelligence in URLLC Towards End-to-End Delay Fulfillment Over Vehicular Networks

Xiao, Y., Du, Q., Cheng, W., Karagiannidis, G. K., & Zhao, Z. (2023) · IEEE Internet of Things Magazine · doi:10.1109/iotm.001.2300049 · Cited by 15 · see citing works

Sum Data Minimization in LEO Satellite-UAV Integrated Multi-Tier Computing Networks: A Game-Theoretic Multiple Access Approach

Gao, Z., Liu, A., Xu, X., Liang, X., Han, C., & Liu, X. (2023) · IEEE Transactions on Communications · doi:10.1109/tcomm.2023.3332932 · Cited by 15 · see citing works

Delay-Optimal Task Offloading for Dynamic Fog Networks

Tan, Y., Wang, K., Yang, Y., & Zhou, M. (2019) · International Conference on Communications · doi:10.1109/icc.2019.8761113 · Cited by 15 · see citing works

A consensus-based decentralized training algorithm for deep neural networks with communication compression

Liu, B., & Ding, Z. (2021) · Neurocomputing · doi:10.1016/j.neucom.2021.01.020 · Cited by 15 · see citing works

A flexible and stretchable bionic true random number generator

Wan, Y., Chen, K., Huang, F. C., Wang, P., Leng, X., Li, D., Kang, J., Qiu, Z., & Yao, Y. (2022) · Nano Research · doi:10.1007/s12274-022-4109-9 · Cited by 15 · see citing works

PAMT: Phase-based Acoustic Motion Tracking in Multipath Fading Environments

Liu, Y., Zhang, W., Yang, Y., Fang, W., Qin, F., & Dai, X. (2019) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom.2019.8737366 · Cited by 14 · see citing works

Copolymer‐Based Flexible Resistive Random Access Memory Prepared by Initiated Chemical Vapor Deposition Process

Jeong, J., Kim, M. J., Hwang, W. S., & Cho, B. J. (2021) · Advanced Electronic Materials · doi:10.1002/aelm.202100375 · Cited by 14 · see citing works

Powering the internet of things in aquatic environments: Solar energy harvesting through a buoyant biosolar cell array

Elhadad, A., & Choi, S. (2023) · Journal of Power Sources · doi:10.1016/j.jpowsour.2023.233501 · Cited by 12 · see citing works

A Neuromorphic Electrothermal Processor for Near‐Sensor Computing

Shirmohammadli, V., & Bahreyni, B. (2022) · Advanced Materials Technologies · doi:10.1002/admt.202200361 · Cited by 11 · see citing works

Hierarchical Adaptive Collaborative Learning: A Distributed Learning Framework for Customized Cloud Services in 6G Mobile Systems

Shi, H., Ma, R., Li, D., & Guan, H. (2023) · IEEE Network · doi:10.1109/mnet.001.2200382 · Cited by 11 · see citing works

Cloud, Fog and Mist Computing in IoT: An Indication of Emerging Opportunities

Ketu, S., & Mishra, P. K. (2021) · IETE Technical Review · doi:10.1080/02564602.2021.1898482 · Cited by 66 · see citing works

Guest Editorial Multi-Tier Computing for Next Generation Wireless Networks—Part II

Wang, K., Yang, Y., Jin, J., Zhang, T., Nallanathan, A., Tellambura, C., & Bijan Jabbari, B. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3228094 · Cited by 1 · see citing works

Hierarchical Reinforcement Learning for Integrated Cloud-Fog-Edge Computing in IoT Systems

Zarei, A., Ahmadi, M., & Mardukhi, F. (2025) · International Conference on Signal Processing and Intelligent Systems (ICSPIS) · doi:10.1109/icspis68676.2025.11551750

Orchestration of distributed ingestion and processing of IoT data for fog platforms

Rico, J. L. P. (2018) · doi:10.5821/dissertation-2117-125503

Guest Editorial Multi-Tier Computing for Next Generation Wireless Networks—Part I

Wang, K., Yang, Y., Jin, J., Zhang, T., Nallanathan, A., Tellambura, C., & Bijan Jabbari, B. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3228093 · Cited by 2 · see citing works