Future Edge Cloud and Edge Computing for Internet of Things Applications

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CoxNet: A Computation Reuse Architecture at the Edge

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A comprehensive survey on nature‐inspired algorithms and their applications in edge computing: Challenges and future directions

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GeoScale: Microservice Autoscaling With Cost Budget in Geo-Distributed Edge Clouds

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Elucidating the challenges for the praxis of fog computing: An aspect‐based study

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Docker Enabled Virtualized Nanoservices for Local IoT Edge Networks

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Area-Aware Routing and Spectrum Allocation for the Tidal Traffic Pattern in Metro Optical Networks

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A Cost Effective Architecture and Throughput Efficient Dynamic Bandwidth Allocation Protocol for Fog Computing Over EPON

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Reliability-Aware Service Function Chain Provisioning in Mobile Edge-Cloud Networks

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Algorithmic implementation of deep learning layer assignment in edge computing based smart city environment

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A Trustworthy Blockchain based framework for Impregnable IoV in Edge Computing

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Challenges of Blockchain Technology in Context Internet of Things: A Survey

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Blockchain Empowered Smart Home: A Scalable Architecture for Sustainable Smart Cities

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Lifecycle management of urban renewal enabled by Internet of Things: Development, application, and challenges

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NAND Flash Memory and Its Place in IoT

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DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification

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Electromagnetic radiation based continuous authentication in edge computing enabled internet of things

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Probabilistic Top-${k}$ Dominating Query Monitoring Over Multiple Uncertain IoT Data Streams in Edge Computing Environments

Lai, C.-C., Wang, T.-C., Liu, C.-M., & Wang, L.-C. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2920908 · Cited by 18

Mercury: A modeling, simulation, and optimization framework for data stream-oriented IoT applications

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Efficient and Fine-Grained Signature for IIoT With Resistance to Key Exposure

Bao, Y., Qiu, W., & Cheng, X. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3055861 · Cited by 18

An Approach to Share Self-Taught Knowledge between Home IoT Devices at the Edge

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Automatic Failure Recovery for Container-Based IoT Edge Applications

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FLEX-IDS: A secure and explainable federated intrusion detection framework for Edge-of-Things environments under adversarial conditions

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Adaptive offloading and scheduling algorithm for big data based mobile edge computing

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Research on an Intelligent Computing Offloading Model for the Internet of Vehicles Based on Blockchain

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FLIoDT: A Federated Learning Architecture from Privacy by Design to Privacy by Default over IoT

Awaysheh, F. M., Alawadi, S., & Alzubi, S. (2022) · International Conference on Fog and Mobile Edge Computing (FMEC) · doi:10.1109/fmec57183.2022.10062661 · Cited by 17

A Context-Aware Edge Computing Framework for Smart Internet of Things

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A Modular Framework for Data Processing at the Edge: Design and Implementation

Urblík, Ľ., Kajáti, E., Papcun, P., & Zolotová, I. (2023) · Sensors · doi:10.3390/s23177662 · Cited by 17

Comprehensive survey on reinforcement learning-based task offloading techniques in aerial edge computing

Nabi, A., Baidya, T., & Moh, S. (2024) · Internet of Things · doi:10.1016/j.iot.2024.101342 · Cited by 17

LoRa vs. LoRa: In-Field Evaluation and Comparison For Long-Lifetime Sensor Nodes

Mayer, P., Magno, M., Brunner, T., & Luca Benini, C. (2019) · International Workshop on Advances in Sensors and Interfaces (IWASI) · doi:10.1109/iwasi.2019.8791362 · Cited by 17

Engineering and Experimentally Benchmarking a Container-based Edge Computing System

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A Reference Model and Prototype Implementation for SDN-Based Multi Layer Routing in Fog Environments

Bellavista, P., Giannelli, C., & Montenero, D. D. P. (2020) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2020.2995903 · Cited by 17

A Survey and Tutorial on “Connection Exploding Meets Efficient Communication” in the Internet of Things

Ning, H., Farha, F., Mohammad, Z. N., & Daneshmand, M. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2996615 · Cited by 17

Smart-Cluster-Based Distributed Caching for Fog-IoT Networks

Abkenar, F. S., Khan, K. S., & Jamalipour, A. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3026322 · Cited by 17

SmartX Multi-Sec: A Visibility-Centric Multi-Tiered Security Framework for Multi-Site Cloud-Native Edge Clusters

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RBFK cipher: a randomized butterfly architecture-based lightweight block cipher for IoT devices in the edge computing environment

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SKAFS: Symmetric Key Authentication Protocol With Forward Secrecy for Edge Computing

Seifelnasr, M., AlTawy, R., & Youssef, A. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3285513 · Cited by 17

A Novel Approach for Service Function Chain (SFC) Mapping with Multiple SFC instances in a Fog-To-Cloud Computing System

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Networked Cameras Are the New Big Data Clusters

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IMSC-EIoTD: Identity Management and Secure Communication for Edge IoT Devices

Sadique, K. M., Rahmani, R., & Johannesson, P. (2020) · Sensors · doi:10.3390/s20226546 · Cited by 17

Predictive GPU-based ADAS Management in Energy-Conscious Smart Cities

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Selective Resource Offloading in Cloud-Edge Elastic Optical Networks

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Dynamic, Context-Aware Cross-Layer Orchestration of Containerized Applications

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A novel edge server selection method based on combined genetic algorithm and simulated annealing algorithm

Zhang, Y., Zhang, W., Peng, K., Yan, D., & Wu, Q. (2020) · Automatika · doi:10.1080/00051144.2020.1837499 · Cited by 16

Dynamic Task Allocation for Cost-Efficient Edge Cloud Computing

Ding, S., & Lin, D. (2020) · IEEE International Conference on Services Computing · doi:10.1109/scc49832.2020.00036 · Cited by 16

IoT-based Indoor Occupancy Estimation Using Edge Computing

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A Video Analytics-Based Intelligent Indoor Positioning System Using Edge Computing For IoT

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BEHAVE: Behavior-Aware, Intelligent, and Fair Resource Management for Heterogeneous Edge-IoT Systems

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Towards Edge Computing for 6G Internet of Everything: Challenges and Opportunities

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Reliable adaptive edge-cloud collaborative DNN inference acceleration scheme combining computing and communication resources in optical networks

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Research on Edge-Computing-Based High Concurrency and Availability “Cloud, Edge, and End Collaboration” Substation Operation Support System and Applications

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Digital twin-assisted service function chaining in multi-domain computing power networks with multi-agent reinforcement learning

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Benchmarking analysis of computer vision algorithms on edge devices for the real-time detection of digital dermatitis in dairy cows

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Green-Oriented Offloading and Resource Allocation by Reinforcement Learning in MEC

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New Security State Awareness Model for IoT Devices With Edge Intelligence

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Two-Dimensional Task Offloading for Mobile Networks: An Imitation Learning Framework

Yan, Z., Cheng, P., Chen, Z., Vucetic, B. S., & Li, Y. (2021) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2021.3093452 · Cited by 15

Computation offloading and pricing in mobile edge computing based on Stackelberg game

Liu, Z., Fu, J., & Zhang, Y. (2021) · Wireless Networks · doi:10.1007/s11276-021-02767-z · Cited by 15

MLife: a lite framework for machine learning lifecycle initialization

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Intelligent Service Selection in a Multi-Dimensional Environment of Cloud Providers for Internet of Things Stream Data through Cloudlets

Milani, O. H., Motamedi, S. A., Sharifian, S., & Nazari‐Heris, M. (2021) · Energies · doi:10.3390/en14248601 · Cited by 15

FedDeep: A Federated Deep Learning Network for Edge Assisted Multi-Urban PM2.5 Forecasting

Hu, Y. X., Cao, N., Guo, W., Chen, M., Rong, Y., & Lü, H. (2024) · Applied Sciences · doi:10.3390/app14051979 · Cited by 16

Towards Intelligent Provisioning of Virtualized Network Functions in Cloud of Things: A Deep Reinforcement Learning Based Approach

He, B., Wang, J., Qi, Q., Sun, H., & Liao, J. (2020) · IEEE Transactions on Cloud Computing · doi:10.1109/tcc.2020.2985651 · Cited by 15

Rough fuzzy model based feature discretization in intelligent data preprocess

Chen, Q., & Huang, M. (2021) · Journal of Cloud Computing Advances Systems and Applications · doi:10.1186/s13677-020-00216-4 · Cited by 15

Multi-Access Edge Computing-Aware Internet of Things: MEC-IoT

Mahbub, M., Gazi, M. S. A., Provat, S. A. A., & Islam, M. S. (2020) · Emerging Technology in Computing, Communication and Electronics (ETCCE) · doi:10.1109/etcce51779.2020.9350909 · Cited by 15

Enhancing the Performance of XR Environments Using Fog and Cloud Computing

Lee, E.-S., & Shin, B. (2023) · Applied Sciences · doi:10.3390/app132212477 · Cited by 14

Fractional-order memristive dynamics in colloidal graphitic carbon nitride systems

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Blockchain-Driven Secure Data Sharing Framework for Edge Computing Networks

Al‐Yarimi, F. A. M., Salah, R. E., & Mohamoud, K. (2024) · Tsinghua Science & Technology · doi:10.26599/tst.2024.9010051 · Cited by 14

Offloading decision and resource allocation in aerial computing: A comprehensive survey

Nabi, A., & Moh, S. (2025) · Computer Science Review · doi:10.1016/j.cosrev.2025.100734 · Cited by 14

Credible and economic multimedia service optimization based on game theoretic in hybrid cloud networks

Cao, T., Zhong, L., Xiao, H., Song, C., Yang, S., & Xu, C. (2019) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.3779 · Cited by 14

The relationship between the Internet of Things and knowledge management in smart ecosystem development

Ikeda, E. K., da Silva, L. F., Penha, R., & de Oliveira, P. S. G. (2021) · Knowledge and Process Management · doi:10.1002/kpm.1658 · Cited by 14

Artificial Intelligence and an Edge-IoMT-Based System for Combating COVID-19 Pandemic

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Federated Learning Protocols for IoT Edge Computing

Foukalas, F. T., & Tziouvaras, A. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3143288 · Cited by 14

A Fuzzy Logic Recommendation System to Support the Design of Cloud-Edge Data Analysis in Cyber-Physical Systems

Queiroz, J., Leitão, P., & Oliveira, E. (2022) · IEEE Open Journal of the Industrial Electronics Society · doi:10.1109/ojies.2022.3152725 · Cited by 14

Distributed Location-Aware Task Offloading in Multi-UAVs Enabled Edge Computing

Liu, J., Wu, Z., Liu, J., & Tu, X. (2022) · IEEE Access · doi:10.1109/access.2022.3189682 · Cited by 14

DSOS: A Distributed Secure Outsourcing System for Edge Computing Service in IoT

Li, H., Yu, J., Fan, J., & Pi, Y. (2022) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2022.3179345 · Cited by 14

Edge Computing Architectures for Enabling the Realisation of the Next Generation Robotic Systems

Seisa, A. S., Damigos, G., Satpute, S. G., Коваль, А. В., & Nikolakopoulos, G. (2022) · Mediterranean Conference on Control and Automation (MED) · doi:10.1109/med54222.2022.9837289 · Cited by 14

Learning-Based Online Transmission Path Selection for Secure Estimation in Edge Computing Systems

Wang, X., Chen, C., He, J., Zhu, S., & Guan, X. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.3012090 · Cited by 14

Computing tasks assignment optimization among edge computing servers via SDN

Bu, C., & Wang, J. (2021) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-021-01081-x · Cited by 14

Design and Implementation of the E-Switch for a Smart Home

García-Vázquez, F., Guerrero-Osuna, H. A., Ornelas-Vargas, G., Carrasco-Navarro, R., Luque-Vega, L. F., & López-Neri, E. (2021) · Sensors · doi:10.3390/s21113811 · Cited by 14

Measuring fault tolerance in IoT mesh networks using Voronoi diagram

Adhinugraha, K. M., Rahayu, W. J., Hara, T., & Taniar, D. (2021) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2021.103297 · Cited by 13

Secure and Privacy-Preserving Human Interaction Recognition of Pervasive Healthcare Monitoring

Yang, C.-L., Tampubolon, H., Setyoko, A. S., Hua, K., Tanveer, M., & Wei, W. (2022) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2022.3223281 · Cited by 13

Attributes-Assisted Joint Contrastive Learning for Person Re-Identification

Wu, Q., Zhou, Z., Niu, C., Liu, X., & Li, B. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3354822 · Cited by 13

Flexible Deployment of Machine Learning Inference Pipelines in the Cloud–Edge–IoT Continuum

Bogacka, K., Sowiński, P., Danilenka, A., Biot, F. M., Wasielewska-Michniewska, K., Ganzha, M., Paprzycki, M., & Palau, C. E. (2024) · Electronics · doi:10.3390/electronics13101888 · Cited by 16

Resource Allocation Considering Impact of Network on Performance in a Disaggregated Data Center

Ikoma, A., Ohsita, Y., & Murata, M. (2024) · IEEE Access · doi:10.1109/access.2024.3399930 · Cited by 13

Attribute-Based Bilateral Access Control With Sanitization and Trust Management for IIoT

Wang, Z., Fu, Y., & Lin, X. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3513454 · Cited by 13

A survey on Deep Learning in Edge–Cloud Collaboration: Model partitioning, privacy preservation, and prospects

Zhang, X., Razavi‐Far, R., Isah, H., David, A., Higgins, G., & Zhang, M. Q. (2025) · Knowledge-Based Systems · doi:10.1016/j.knosys.2025.112965 · Cited by 15

Privacy-preserving cloud-connected IoT data using context-aware and end-to-end secure messages

Ferraz, N., Silva, A., Guelfi, A. E., & Kofuji, S. T. (2021) · Procedia Computer Science · doi:10.1016/j.procs.2021.07.007 · Cited by 13

ESPINA: efficient and secured protocol for emerging IoT network applications

Bomgni, A. B., Mdemaya, G. B. J., Ali, H. M., Zanfack, D. R. G., & Gnimpiéba, E. Z. (2022) · Cluster Computing · doi:10.1007/s10586-021-03493-z · Cited by 13

Machine Learning-Based Time-Series Data Analysis in Edge-Cloud-Assisted Oil Industrial IoT System

Shi, F., Yan, L., Zhao, X., & Gao, R. X. (2022) · Mobile Information Systems · doi:10.1155/2022/5988164 · Cited by 13

AI Strategy for Stake Cloud Computing and Edge Computing: A State of the art survey

Aishwarya, R., & Mathivanan, G. (2021) · International Conference on Electronics, Communication and Aerospace Technology (ICECA) · doi:10.1109/iceca52323.2021.9676013 · Cited by 12

Simulating IoT Workflows in DISSECT-CF-Fog

Márkus, A., Al-Haboobi, A., Kecskeméti, G., & Kertész, A. (2023) · Sensors · doi:10.3390/s23031294 · Cited by 12

Prediction system for water-producing gas wells using edge intelligence

Jiang, J., Li, K., Du, J., Chen, Z., Liu, Y., & Liu, Y. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.123303 · Cited by 12

Composing Efficient Computational Models for Real-Time Processing on Next-Generation Edge-Computing Platforms

Mohsin, M. A., Shahrouzi, S. N., & Perera, D. G. (2024) · IEEE Access · doi:10.1109/access.2024.3365652 · Cited by 12

Creation of AI-driven smart spaces for enhanced indoor environments – A survey

Varol, A., Motlagh, N. H., Leino, M., Tarkoma, S., & Virkki, J. (2026) · Internet of Things · doi:10.1016/j.iot.2026.101876 · Cited by 14

QoE-Driven Proactive Caching With DRL in Sustainable Cloud-to-Edge Continuum

He, X., Jiang, Y., Cui, H., Liu, Y., Chen, M., Guizani, M., & Mumtaz, S. (2025) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2025.3577197 · Cited by 12

Neural-Network-Based Root Mean Delay Spread Model for Ubiquitous Indoor Internet-of-Things Scenarios

Yu, Y., Lu, W., Liu, Y., & Zhu, H. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2979766 · Cited by 12

Intelligent Internet of Things Enabled Edge System for Smart Healthcare

Ray, P. P., Dash, D., & De, D. (2020) · National Academy Science Letters · doi:10.1007/s40009-020-01003-0 · Cited by 12

Device-driven On-demand Deployment of Serverless Computing Functions

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