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Reliable Resource Allocation and Management for IoT Transportation Using Fog Computing
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/spe.2509openalex-snapshot
iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments
inferredcites →https://doi.org/10.1007/978-3-030-04203-5_13openalex-snapshot
IoT Based Intelligent Transportation System (IoT-ITS) for Global Perspective: A Case Study
inferredcites →https://doi.org/10.1007/978-3-642-24788-0_19openalex-snapshot
A Rule-Based Approach to Activity Recognition
inferredcites →https://doi.org/10.1007/s12652-018-0813-4openalex-snapshot
Dynamic management of a deep learning-based anomaly detection system for 5G networks
inferredcites →https://doi.org/10.1016/j.comcom.2021.01.008openalex-snapshot
Novel congestion avoidance scheme for Internet of Drones
inferredcites →https://doi.org/10.1016/j.comcom.2021.01.022openalex-snapshot
Intelligent workload allocation in IoT–Fog–cloud architecture towards mobile edge computing
inferredcites →https://doi.org/10.1016/j.compag.2022.106993openalex-snapshot
Applications of IoT for optimized greenhouse environment and resources management
inferredcites →https://doi.org/10.1016/j.compind.2017.05.006openalex-snapshot
Wearable IoT sensor based healthcare system for identifying and controlling chikungunya virus
inferredcites →https://doi.org/10.1016/j.jksuci.2018.08.014openalex-snapshot
Resource management in pervasive Internet of Things: A survey
inferredcites →https://doi.org/10.1016/j.jnca.2016.01.018openalex-snapshot
Towards workflow scheduling in cloud computing: A comprehensive analysis
inferredcites →https://doi.org/10.1016/j.jss.2022.111351openalex-snapshot
iFogSim2: An extended iFogSim simulator for mobility, clustering, and microservice management in edge and fog computing environments
inferredcites →https://doi.org/10.1109/access.2020.2973758openalex-snapshot
Task Scheduling Algorithm Based on Improved Firework Algorithm in Fog Computing
inferredcites →https://doi.org/10.1109/access.2022.3193151openalex-snapshot
Fault Tolerant and Data Oriented Scientific Workflows Management and Scheduling System in Cloud Computing
inferredcites →https://doi.org/10.1109/cloudnet47604.2019.9064110openalex-snapshot
Intelligent Resource Allocation in Dynamic Fog Computing Environments
inferredcites →https://doi.org/10.1109/comst.2022.3158270openalex-snapshot
A Survey of Intelligent Network Slicing Management for Industrial IoT: Integrated Approaches for Smart Transportation, Smart Energy, and Smart Factory
inferredcites →https://doi.org/10.1109/jas.2021.1003925openalex-snapshot
Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies
inferredcites →https://doi.org/10.1109/jiot.2017.2709814openalex-snapshot
Resource Allocation Strategy in Fog Computing Based on Priced Timed Petri Nets
inferredcites →https://doi.org/10.1109/jiot.2017.2788802openalex-snapshot
On Reducing IoT Service Delay via Fog Offloading
inferredcites →https://doi.org/10.1109/tii.2018.2851241openalex-snapshot
Tasks Scheduling and Resource Allocation in Fog Computing Based on Containers for Smart Manufacturing
inferredcites →https://doi.org/10.1109/tii.2020.3001067openalex-snapshot
Energy-Aware Marine Predators Algorithm for Task Scheduling in IoT-Based Fog Computing Applications
inferredcites →https://doi.org/10.1109/wf-iot.2018.8355141openalex-snapshot
Fog assisted application support for animal behaviour analysis and health monitoring in dairy farming
inferredcites →https://doi.org/10.1145/2342509.2342513openalex-snapshot
Fog computing and its role in the internet of things
inferredcites →https://doi.org/10.1145/3403955openalex-snapshot
Application Management in Fog Computing Environments
inferredcites →https://doi.org/10.1155/2019/7802843openalex-snapshot
Resource Scheduling for Postdisaster Management in IoT Environment
inferredcites →https://doi.org/10.1155/2022/3514285openalex-snapshot
Optimization for the Human Resources Management Strategy of the IoT Industry Based on AHP
inferredcites →https://doi.org/10.12720/jcm.14.8.745-757openalex-snapshot
IoT Technologies for Mobile Crowd Sensing in Smart Cities
inferredcites →https://doi.org/10.14669/am.vol72.art2openalex-snapshot
An analysis of collision avoidance manoeuvres in emergency traffic situations
inferredcites →https://doi.org/10.15439/2021f005openalex-snapshot
A Distributed Application Placement and Migration Management Techniques for Edge and Fog Computing Environments
inferredcites →https://doi.org/10.32604/cmc.2022.015707openalex-snapshot
Efficient Resource Allocation in Fog Computing Using QTCS Model
inferredcites →https://doi.org/10.32604/cmc.2022.026693openalex-snapshot
Smart-City-based Data Fusion Algorithm for Internet of Things
inferredcites →https://doi.org/10.3390/app9245538openalex-snapshot
Blockchain-Based Resource Allocation Model in Fog Computing
inferredcites →https://doi.org/10.3390/electronics11060904openalex-snapshot
Automatic Face Mask Detection System in Public Transportation in Smart Cities Using IoT and Deep Learning
inferredcites →https://doi.org/10.3390/s21051832openalex-snapshot
Resource Management Techniques for Cloud/Fog and Edge Computing: An Evaluation Framework and Classification
inferredcites →https://doi.org/10.3906/elk-1810-47openalex-snapshot
Low-latency and energy-efficient scheduling in fog-based IoT applications
inferredcites →https://doi.org/10.5755/j01.itc.48.1.20162openalex-snapshot
Robust Fault Diagnosis for Discrete-Time Switched System with Unknown State Delays Subject to Component Faults
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.7968openalex-snapshot
Retracted: Minimal channel cost‐based energy‐efficient resource allocation algorithm for task offloading under FoG computing environment
inferred← citeshttps://doi.org/10.1002/spe.3439openalex-snapshot
Early Response Framework for Accident Detection and Prevention Through Multi‐Zone Fog‐Cloud Collaboration for Safety‐Critical Applications
inferred← citeshttps://doi.org/10.1007/978-3-031-73122-8_28openalex-snapshot
Exploring Scalable User Mobility Impact on Energy Efficiency, Latency and Network Usage in Smart Homes
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Advancing Natural Resources Management Through the Environmental IoT-Based Model Economy
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RETRACTED ARTICLE: Efficient evolutionary modeling in solving maximization of lifetime of wireless sensor healthcare networks
inferred← citeshttps://doi.org/10.1007/s10115-024-02274-5openalex-snapshot
Resource allocation in fog computing: a survey on current state and research challenges
inferred← citeshttps://doi.org/10.1007/s10586-024-04347-0openalex-snapshot
Task scheduling approach in fog and cloud computing using Jellyfish Search (JS) optimizer and Improved Harris Hawks optimization (IHHO) algorithm enhanced by deep learning
inferred← citeshttps://doi.org/10.1007/s10586-026-06548-1openalex-snapshot
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MYRTO: An efficient pervasive method for hybrid ML-based data filtered allocations
inferred← citeshttps://doi.org/10.1007/s10922-024-09883-zopenalex-snapshot
A New Blockchain-Based Auction Method for Resource Allocation in Fog Computing Environment
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Maximizing healthcare security outcomes through AI/ML multi-label classification approach on IoHT devices
inferred← citeshttps://doi.org/10.1007/s41060-023-00473-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s42452-024-06351-wopenalex-snapshot
IoMT landscape: navigating current challenges and pioneering future research trends
inferred← citeshttps://doi.org/10.1007/s44163-026-02116-zopenalex-snapshot
Explainable AI-driven edge–cloud framework for cluster-based predictive cyber threat detection in IIoT-enabled internet of vehicles
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.128981openalex-snapshot
Simplifying the operation of hybrid ad-hoc sensor networks with neural networks as the sole data reconstruction method
inferred← citeshttps://doi.org/10.1016/j.future.2024.01.017openalex-snapshot
Resource allocation of industry 4.0 micro-service applications across serverless fog federation
inferred← citeshttps://doi.org/10.1016/j.jnca.2024.103891openalex-snapshot
Resource allocation in Fog–Cloud Environments: State of the art
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.115430openalex-snapshot
A software-defined wrapper discriminant federated learning-reinforcement attention adversarial regression approach for privacy and task management in cloud edge computing
inferred← citeshttps://doi.org/10.1016/j.nxener.2025.100413openalex-snapshot
Energy-efficient smart gateway framework with QoS-aware resource allocation in IoT ecosystem
inferred← citeshttps://doi.org/10.1016/j.procs.2023.12.110openalex-snapshot
A Comparative Analysis of Dynamic Scheduling Algorithms for Enhanced Resource Management in Homogeneous and Heterogeneous Fog Computing Environments
inferred← citeshttps://doi.org/10.1016/j.simpat.2024.102980openalex-snapshot
Priority-based fault tolerance mechanism with neighbour candidate node discovery algorithm and task processing by replication and forwarding technique under Fog-IoT wireless computing environments
inferred← citeshttps://doi.org/10.1016/j.suscom.2026.101349openalex-snapshot
Task offloading and Archery Pufferfish Optimization-based resource allocation in fog cloud computing
inferred← citeshttps://doi.org/10.1038/s41598-024-79903-0openalex-snapshot
The design of intelligent highway transportation system in smart city based on the internet of things
inferred← citeshttps://doi.org/10.1038/s41598-025-15931-8openalex-snapshot
Intelligent resource allocation in internet of things using random forest and clustering techniques
inferred← citeshttps://doi.org/10.1063/5.0329181openalex-snapshot
Human computer interaction in fog computing
inferred← citeshttps://doi.org/10.1080/09540091.2024.2350755openalex-snapshot
ERAM-EE: Efficient resource allocation and management strategies with energy efficiency under fog–internet of things environments
inferred← citeshttps://doi.org/10.1109/access.2024.3450587openalex-snapshot
An Intelligent LoRaWAN-Based IoT Device for Monitoring and Control Solutions in Smart Farming Through Anomaly Detection Integrated With Unsupervised Machine Learning
inferred← citeshttps://doi.org/10.1109/access.2024.3516362openalex-snapshot
Dynamic Load Balancing for Enhanced Network Performance in IoT-Enabled Smart Healthcare With Fog Computing
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Latency Optimized Application Placement for IoT Based Automated Anesthesia
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Dynamic Resource Allocation Using Auction Technique In Fog Computing
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Review of Resource Allocation Framework for Integrated Cloud-Fog Based IoT Application System & its Challenges
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A Survey on Energy efficiency in Cloud Computing Frameworks at Different Platforms
inferred← citeshttps://doi.org/10.1109/icasst68917.2026.11484467openalex-snapshot
Fog Computing-Enabled Smart Grids Reduced Latency for Smarter Energy Systems
inferred← citeshttps://doi.org/10.1109/icicacs65178.2025.10967829openalex-snapshot
Reputation Based Resource Allocation for IoT in Fog Computing Environments
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The Use of Game Theoretic Based Algorithms for Dynamic Resource Allocation in Vehicular Cloud Computing Systems
inferred← citeshttps://doi.org/10.1109/nigercon62786.2024.10927096openalex-snapshot
Multilabel Classification in IoT NIDS: A Proposed Cross Machine Learning Pipeline
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Crowd Sensing for Public Transport Terminals Using Bluetooth Low Energy (BLE) Beacons
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Internet of Things-Centric Optimized Service Provisioning in Multi-Cloud Environment
inferred← citeshttps://doi.org/10.1145/3770501.3770518openalex-snapshot
FLAIR: QoS-Aware Scheduling and Workload Placement in Fog-Enabled Smart Manufacturing Warehouses
inferred← citeshttps://doi.org/10.11591/ijeecs.v32.i1.pp318-327openalex-snapshot
Resource provisioning model for executing realistic workload in heterogenous internet of things environment
inferred← citeshttps://doi.org/10.12785/ijcds/150179openalex-snapshot
Optimizing Fog Computing Efficiency: Exploring the Role of Heterogeneity in Resource Allocation and Task Scheduling
inferred← citeshttps://doi.org/10.14569/ijacsa.2024.0150775openalex-snapshot
Business Insights into the Internet of Things: User Experiences and Organizational Strategies
inferred← citeshttps://doi.org/10.24996/ijs.2024.65.7.37openalex-snapshot
A Survey of Fog Computing-Based Resource Allocation Approaches: Overview, Classification, and Opportunity for Research
inferred← citeshttps://doi.org/10.3389/fcomp.2023.1293209openalex-snapshot
Machine learning-driven task scheduling with dynamic K-means based clustering algorithm using fuzzy logic in FOG environment
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A Blockchain Framework for Scalable, High-Density IoT Networks of the Future
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Machine Learning and Deep Learning Algorithms for Green Computing
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Design of load-aware resource allocation for heterogeneous fog computing systems
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