Real-time Internet of Things with Performance Guarantees
Summary
This project provides a suite of efficient and distributed resource allocation algorithms that can satisfactorily perform within the time limits imposed by the real-time systems. The project will also establish fundamental performance guarantees and provide significant benefits for a wide range of real-time mission-critical applications, including intelligent transportation. The outcomes of this project will directly be beneficial to a variety of IoT applications in transportation, autonomous vehicles, and smart cities.
Our Team
- June 2023
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Expected to complete
- 2023
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Industry 5.0 Applications
- 2022
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Robotic Edge Resource Allocation
End-to-End Quality of Experience (QoE) in 6G Applications
End-to-End QoE over Radio Access Networks (RANs)
- 2021
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Joint Scheduling and Channel Allocation
Quality of Service for Real-Time Bursty Applications
Resource Allocation and Services for Multi-Agent Cloud Robotics
- 2020
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Distributed Optimization for AUtonomous Vehicles - A smart traffic control scenario
Rate-Adaptive Fog Service Platform
- June 2019 (Start)
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Start of the Project
Key Articles
- Achieving AI-enabled Robust End-to-End Quality of Experience over Radio Access Networks, Pre-print, 2022
- Online Slice Reconfiguration for End-to-End QoE in 6G Applications, Pre-print, 2022
- Achieving QoS for bursty uRLLC applications over passive optical networks, Journal of Optical Communications and Networking, 2022
- Robotic edge resource allocation for agricultural cyber-physical system, IEEE Transactions on Network Science and Engineering, 2021
- Resource allocation and service provisioning in multi-agent cloud robotics: A Comprehensive Survey, IEEE Communications Surveys & Tutorials, 2021
- Joint scheduling and channel allocation for Kalman filtering over multihop WirelessHART networks, IEEE Transactions on Industrial Informatics, 2020
- Rate-adaptive fog service platform for heterogeneous IoT applications, IEEE Internet of Things Journal, 2019
- Distributed Real-Time IoT for Autonomous Vehicles, IEEE Transactions on Industrial Informatics, 2019
- Information constrained and finite-time distributed optimisation algorithms, IEEE 56th Annual Conference on Decision and Control (CDC), 2017