Kok-Lim Alvin Yau
Orcid: 0000-0003-3110-2782
According to our database1,
Kok-Lim Alvin Yau
authored at least 90 papers
between 2009 and 2024.
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Bibliography
2024
Joint Collaborative Big Spectrum Data Sensing and Reinforcement Learning Based Dynamic Spectrum Access for Cognitive Internet of Vehicles.
IEEE Trans. Intell. Transp. Syst., January, 2024
2023
Guest Editorial Special Issue on Collaborative Intelligence for Green Internet of Things in the 6G Era.
IEEE Trans. Green Commun. Netw., June, 2023
IEEE Trans. Intell. Transp. Syst., February, 2023
Clust. Comput., February, 2023
IEEE Access, 2023
2022
Frontiers Neurorobotics, September, 2022
Sensors, 2022
Implications of Centralized and Distributed Multi-Agent Deep Reinforcement Learning in Dynamic Spectrum Access.
Proceedings of the 6th IEEE International Symposium on Telecommunication Technologies, 2022
Proceedings of the IEEE International Conference on Artificial Intelligence in Engineering and Technology, 2022
Towards Latency Aware Multi-joint Optimization Method for VNF Placement and SFC Routing Via Swarm Intelligence.
Proceedings of the 12th IEEE International Conference on Control System, 2022
2021
Wirel. Commun. Mob. Comput., 2021
IEEE Open J. Comput. Soc., 2021
Spectrum sensing challenges & their solutions in cognitive radio based vehicular networks.
Int. J. Commun. Syst., 2021
Augmented Intelligence: Surveys of Literature and Expert Opinion to Understand Relations Between Human Intelligence and Artificial Intelligence.
IEEE Access, 2021
Multi-Objective Harris Hawks Optimization Algorithm Based 2-Hop Routing Algorithm for CR-VANET.
IEEE Access, 2021
Virtual Edge: Exploring Computation Offloading in Collaborative Vehicular Edge Computing.
IEEE Access, 2021
2020
Guest Editorial Special Issue on Big Data and Computational Intelligence for Agile Wireless IoT.
IEEE Trans. Emerg. Top. Comput. Intell., 2020
Sensors, 2020
Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues.
IEEE Open J. Comput. Soc., 2020
Deep reinforcement learning for traffic signal control under disturbances: A case study on Sunway city, Malaysia.
Future Gener. Comput. Syst., 2020
Computational Intelligence for Internet of Things in the Big Data Era (Part II) [Guest Editorial].
IEEE Comput. Intell. Mag., 2020
Towards Smart Port Infrastructures: Enhancing Port Activities Using Information and Communications Technology.
IEEE Access, 2020
IEEE Access, 2020
Comprehensive Survey of Machine Learning Approaches in Cognitive Radio-Based Vehicular Ad Hoc Networks.
IEEE Access, 2020
Trust and Reputation Management for Securing Collaboration in 5G Access Networks: The Road Ahead.
IEEE Access, 2020
Engineering Education, Moving into 2020s : Essential Competencies for Effective 21st Century Electrical & Computer Engineers.
Proceedings of the IEEE Frontiers in Education Conference, 2020
2019
A Reinforcement Learning-Based Trust Model for Cluster Size Adjustment Scheme in Distributed Cognitive Radio Networks.
IEEE Trans. Cogn. Commun. Netw., 2019
Towards enhancement of communication systems, networks and applications for smart environment.
J. Ambient Intell. Humaniz. Comput., 2019
Computational Intelligence for Internet of Things in the Big Data Era (Part I) [Guest Editorial].
IEEE Comput. Intell. Mag., 2019
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges.
IEEE Access, 2019
IEEE Access, 2019
A Survey on Simultaneous Wireless Information and Power Transfer With Cooperative Relay and Future Challenges.
IEEE Access, 2019
5G-Based Smart Healthcare Network: Architecture, Taxonomy, Challenges and Future Research Directions.
IEEE Access, 2019
An Experimental Comparison Between Centralized and Distributed Testbeds for 5G-based Networks.
Proceedings of the 2019 International Conference on Information and Communication Technology Convergence, 2019
Can Reinforcement Learning Address Security Issues? an Investigation into a Clustering Scheme in Distributed Cognitive Radio Networks.
Proceedings of the 33rd International Conference on Information Networking, 2019
Performance Evaluation of Route Selection Schemes over a Clustered Cognitive Radio Network.
Proceedings of the IEEE VTS Asia Pacific Wireless Communications Symposium, 2019
2018
The Visual Display of Temporal Information for E-Textbook: Incorporating the Mind-mapped Timeline Authoring Tool.
KSII Trans. Internet Inf. Syst., 2018
Comput. Commun., 2018
Computational Intelligence Techniques for Mobile Network Optimization [Guest Editorial].
IEEE Comput. Intell. Mag., 2018
IEEE Access, 2018
IEEE ACCESS Special Section Editorial: Energy Harvesting and Scavenging: Technologies, Algorithms, and Communication Protocols.
IEEE Access, 2018
RL-Budget: A Learning-Based Cluster Size Adjustment Scheme for Cognitive Radio Networks.
IEEE Access, 2018
2017
IEEE Wirel. Commun., 2017
ACM Comput. Surv., 2017
2016
Route Selection for Multi-Hop Cognitive Radio Networks Using Reinforcement Learning: An Experimental Study.
IEEE Access, 2016
Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016
Proceedings of the 8th International Conference on Knowledge and Smart Technology, 2016
Preserving Privacy of Agents in Reinforcement Learning for Distributed Cognitive Radio Networks.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
2015
J. Netw. Comput. Appl., 2015
J. Comput. Inf. Syst., 2015
IEEE Commun. Surv. Tutorials, 2015
Application of reinforcement learning to wireless sensor networks: models and algorithms.
Computing, 2015
SMART: A SpectruM-Aware ClusteR-based rouTing scheme for distributed cognitive radio networks.
Comput. Networks, 2015
Application of reinforcement learning for security enhancement in cognitive radio networks.
Appl. Soft Comput., 2015
Application of reinforcement learning to routing in distributed wireless networks: a review.
Artif. Intell. Rev., 2015
IEEE Access, 2015
2014
Secur. Commun. Networks, 2014
J. Netw. Comput. Appl., 2014
Int. J. Distributed Sens. Networks, 2014
Proceedings of the 7th IFIP Wireless and Mobile Networking Conference, 2014
Reinforcement learning-based trust and reputation model for cluster head selection in cognitive radio networks.
Proceedings of the 9th International Conference for Internet Technology and Secured Transactions, 2014
Effects of network characteristics on learning mechanism for routing in cognitive radio ad hoc networks.
Proceedings of the 9th International Symposium on Communication Systems, 2014
2013
Wirel. Pers. Commun., 2013
Security aspects in the cognition cycle of distributed cognitive radio networks: a survey from a multi-agent perspective.
Int. J. Ad Hoc Ubiquitous Comput., 2013
Frontiers Comput. Sci., 2013
Reinforcement Learning-Based Trust and Reputation Model for Spectrum Leasing in Cognitive Radio Networks.
Proceedings of the 2013 International Conference on IT Convergence and Security, 2013
Proceedings of the 2013 IEEE International Conference on Control System, 2013
An energy-efficient Hybrid Wireless Mesh Protocol (HWMP) for IEEE 802.11s mesh networks.
Proceedings of the 2013 IEEE International Conference on Control System, 2013
Route selection for minimizing interference to primary users in Cognitive Radio Networks: A Reinforcement Learning approach.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Communication Systems and Networks, 2013
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Healthcare and e-health, 2013
2012
Reinforcement learning for context awareness and intelligence in wireless networks: Review, new features and open issues.
J. Netw. Comput. Appl., 2012
Analysis of a secure cooperative channel sensing protocol for cognitive radio networks.
Proceedings of the 5th International Conference of Security of Information and Networks, 2012
Proceedings of the IET International Conference on Wireless Communications and Applications, 2012
2011
Learning mechanisms for achieving context awareness and intelligence in Cognitive Radio networks.
Proceedings of the IEEE 36th Conference on Local Computer Networks, 2011
Achieving Context Awareness and Intelligence in Distributed Cognitive Radio Networks: A Payoff Propagation Approach.
Proceedings of the 25th IEEE International Conference on Advanced Information Networking and Applications Workshops, 2011
Performance Analysis of Reinforcement Learning for Achieving Context Awareness and Intelligence in Mobile Cognitive Radio Networks.
Proceedings of the 25th IEEE International Conference on Advanced Information Networking and Applications, 2011
2010
Enhancing network performance in Distributed Cognitive Radio Networks using single-agent and multi-agent Reinforcement Learning.
Proceedings of the 35th Annual IEEE Conference on Local Computer Networks, 2010
Achieving Efficient and Optimal Joint Action in Distributed Cognitive Radio Networks Using Payoff Propagation.
Proceedings of IEEE International Conference on Communications, 2010
2009
Performance analysis of Reinforcement Learning for achieving context-awareness and intelligence in Cognitive Radio networks.
Proceedings of the 34th Annual IEEE Conference on Local Computer Networks, 2009
Proceedings of the 34th Annual IEEE Conference on Local Computer Networks, 2009
A context-aware and Intelligent Dynamic Channel Selection scheme for cognitive radio networks.
Proceedings of the 4th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications, 2009