Rashid Ali
Orcid: 0000-0002-9756-1909Affiliations:
- Sejong University, School of Intelligent Mechatronics Engineering, Seoul, Korea
- Yeungnam University, Gyeongsan, Department of Information and Communication Engineering, Korea
According to our database1,
Rashid Ali
authored at least 47 papers
between 2017 and 2023.
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Bibliography
2023
Cache in fog computing design, concepts, contributions, and security issues in machine learning prospective.
Digit. Commun. Networks, October, 2023
Comput. Syst. Sci. Eng., 2023
RS-RLNC: A Reinforcement Learning-Based Selective Random Linear Network Coding Framework for Tactile Internet.
IEEE Access, 2023
Learning-Based Adaptive Sliding-Window RLNC for High Bandwidth-Delay Product Networks.
IEEE Access, 2023
2022
Agile Support Vector Machine for Energy-efficient Resource Allocation in IoT-oriented Cloud using PSO.
ACM Trans. Internet Techn., 2022
Reinforcement Learning-Aided Edge Intelligence Framework for Delay-Sensitive Industrial Applications.
Sensors, 2022
Caching Content on the Network Layer: A Performance Analysis of Caching Schemes in ICN-Based Internet of Things.
IEEE Internet Things J., 2022
IEEE Internet Things J., 2022
IEEE Internet Things J., 2022
A Reinforcement Learning-Based Framework for Crowdsourcing in Massive Health Care Internet of Things.
Big Data, 2022
QoS Provisioning: Key Drivers and Enablers Toward the Tactile Internet in Beyond 5G Era.
IEEE Access, 2022
2021
Sensors, 2021
Sensors, 2021
Sensors, 2021
A Federated Reinforcement Learning Framework for Incumbent Technologies in Beyond 5G Networks.
IEEE Netw., 2021
Correction to: Elastic caching solutions for content dissemination services of ip-based internet technologies prospective.
Multim. Tools Appl., 2021
Elastic caching solutions for content dissemination services of ip-based internet technologies prospective.
Multim. Tools Appl., 2021
CBI4.0: A cross-layer approach for big data gathering for active monitoring and maintenance in the manufacturing industry 4.0.
J. Ind. Inf. Integr., 2021
Reinforcement-Learning-Enabled Massive Internet of Things for 6G Wireless Communications.
IEEE Commun. Stand. Mag., 2021
Intelligent Stretch Reduction in Information-CentricNetworking towards 5G-Tactile Internet realization.
CoRR, 2021
Reinforcement learning-enabled Intelligent Device-to-Device (I-D2D) communication in Narrowband Internet of Things (NB-IoT).
Comput. Commun., 2021
Reliability Optimization in Narrowband Device-to-Device Communication for 5G and Beyond-5G Networks.
IEEE Access, 2021
PAKES: A Reinforcement Learning-Based Personalized Adaptability Knowledge Extraction Strategy for Adaptive Learning Systems.
IEEE Access, 2021
URLLC for 5G and Beyond: Requirements, Enabling Incumbent Technologies and Network Intelligence.
IEEE Access, 2021
2020
TrustWalker: An Efficient Trust Assessment in Vehicular Internet of Things (VIoT) with Security Consideration.
Sensors, 2020
Reinforcement Learning-Enabled Cross-Layer Optimization for Low-Power and Lossy Networks under Heterogeneous Traffic Patterns.
Sensors, 2020
Sensors, 2020
Performance optimization of QoS-supported dense WLANs using machine-learning-enabled enhanced distributed channel access (MEDCA) mechanism.
Neural Comput. Appl., 2020
(ReLBT): A Reinforcement learning-enabled listen before talk mechanism for LTE-LAA and Wi-Fi coexistence in IoT.
Comput. Commun., 2020
The limitations in the state-of-the-art counter-measures against the security threats in H-IoT.
Clust. Comput., 2020
Optimization of Resource Allocation Model With Energy-Efficient Cooperative Sensing in Green Cognitive Radio Networks.
IEEE Access, 2020
Private blockchain-envisioned security framework for AI-enabled IoT-based drone-aided healthcare services.
Proceedings of the DroneCom '20: Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, 2020
Proceedings of the 2020 International Symposium on Networks, Computers and Communications, 2020
2019
DCS: Distributed Caching Strategy at the Edge of Vehicular Sensor Networks in Information-Centric Networking.
Sensors, 2019
J. Commun. Networks, 2019
Q-learning-enabled channel access in next-generation dense wireless networks for IoT-based eHealth systems.
EURASIP J. Wirel. Commun. Netw., 2019
IEEE Access, 2019
Deep Reinforcement Learning Paradigm for Performance Optimization of Channel Observation-Based MAC Protocols in Dense WLANs.
IEEE Access, 2019
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019
2018
IEEE Commun. Mag., 2018
IEEE Access, 2018
Adaptively scaled back-off (ASB) mechanism for enhanced performance of CSMA/CA in IEEE 802.11ax high efficiency WLAN.
Proceedings of the 2018 IEEE/IFIP Network Operations and Management Symposium, 2018
Performance Evaluation of Centralized and Distributed Control Methods for Efficient Registration of Massive IoT Devices.
Proceedings of the Tenth International Conference on Ubiquitous and Future Networks, 2018
Fair and Efficient Channel Observation-Based Listen-Before Talk (CoLBT) for LAA-WiFi Coexistence in Unlicensed LTE.
Proceedings of the Tenth International Conference on Ubiquitous and Future Networks, 2018
2017
I-DTMC: An Integrated-Discrete Time Markov Chain Model for Performance Analysis in Future WLANs.
Proceedings of the 42nd IEEE Conference on Local Computer Networks Workshops, 2017
Congestion control routing using optimal channel assignment mechanism in wireless mesh network.
Proceedings of the Ninth International Conference on Ubiquitous and Future Networks, 2017