Kok-Lim Alvin Yau

According to our database1, Kok-Lim Alvin Yau authored at least 73 papers between 2009 and 2020.

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Bibliography

2020
Guest Editorial Special Issue on Big Data and Computational Intelligence for Agile Wireless IoT.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

Blockchain for Vehicular Internet of Things: Recent Advances and Open Issues.
Sensors, 2020

Routing Schemes in FANETs: A Survey.
Sensors, 2020

A Distributed Testbed for 5G Scenarios: An Experimental Study.
Sensors, 2020

Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues.
IEEE Open J. Comput. Soc., 2020

Survey and taxonomy of clustering algorithms in 5G.
J. Netw. Comput. Appl., 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

Empowering Blockchain in Vehicular Environments With Decentralized Edges.
IEEE Access, 2020

Collaborative Vehicular Edge Computing Towards Greener ITS.
IEEE Access, 2020

Deep Reinforcement Learning for Traffic Signal Control: A Review.
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

Maritime Networking: Bringing Internet to the Sea.
IEEE Access, 2019

Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges.
IEEE Access, 2019

A Security-Enhanced Cluster Size Adjustment Scheme for Cognitive Radio Networks.
IEEE Access, 2019

A Survey on Simultaneous Wireless Information and Power Transfer With Cooperative Relay and Future Challenges.
IEEE Access, 2019

Edge Computing in 5G: A Review.
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

Route selection over clustered cognitive radio networks: An experimental evaluation.
Comput. Commun., 2018

Computational Intelligence Techniques for Mobile Network Optimization [Guest Editorial].
IEEE Comput. Intell. Mag., 2018

Cognition-Inspired 5G Cellular Networks: A Review and the Road Ahead.
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
Clustering and Reinforcement-Learning-Based Routing for Cognitive Radio Networks.
IEEE Wirel. Commun., 2017

A Survey on Reinforcement Learning Models and Algorithms for Traffic Signal Control.
ACM Comput. Surv., 2017

2016
Route Selection for Multi-Hop Cognitive Radio Networks Using Reinforcement Learning: An Experimental Study.
IEEE Access, 2016

MP-ALM: Exploring Reliable Multipath Multicast Streaming with Multipath TCP.
Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016

Preserving Privacy of Agents in Reinforcement Learning for Distributed Cognitive Radio Networks.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015
QoS in IEEE 802.11-based wireless networks: A contemporary review.
J. Netw. Comput. Appl., 2015

Addressing the Major Information Technology Challenges of Electronic Textbooks.
J. Comput. Inf. Syst., 2015

Guest Editorial.
IET Networks, 2015

Exploiting the Power of Multiplicity: A Holistic Survey of Network-Layer Multipath.
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 Special Section Editorial: Artificial Intelligence Enabled Networking.
IEEE Access, 2015

2014
Trust and reputation management in cognitive radio networks: a survey.
Secur. Commun. Networks, 2014

Clustering algorithms for Cognitive Radio networks: A survey.
J. Netw. Comput. Appl., 2014

Spectrum Leasing in Cognitive Radio Networks: A Survey.
Int. J. Distributed Sens. Networks, 2014

QoS in IEEE 802.11-based Wireless Networks: A Contemporary Survey.
CoRR, 2014

A reinforcement learning-based routing scheme for cognitive radio ad hoc networks.
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
Routing in Distributed Cognitive Radio Networks: A Survey.
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

Reinforcement learning models for scheduling in wireless networks.
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

Relay node selection for spectrum leasing in cognitive radio networks.
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

On Cognitive Radio-based Wireless Body Area Networks for medical applications.
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

Reinforcement learning approach for centralized Cognitive Radio systems.
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

Cognitive Radio-based Wireless Sensor Networks: Conceptual design and open issues.
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


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