activity
20222025
most citedA Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges

13 citations · 50 across the 19 of their papers we have counts for

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5 papers · 1 filter

cs.NI2024★ 1 cited

Adapting MLOps for Diverse In-Network Intelligence in 6G Era: Challenges and Solutions

Peizheng Li, Ioannis Mavromatis, Tim Farnham +2

Seamless integration of artificial intelligence (AI) and machine learning (ML) techniques with wireless systems is a crucial step for 6G AInization. However, such integration faces…

cs.NI2024★ 1 cited

UMBRELLA: A One-stop Shop Bridging the Gap from Lab to Real-World IoT Experimentation

Ioannis Mavromatis, Yichao Jin, Aleksandar Stanoev +12

UMBRELLA is an open, large-scale IoT ecosystem deployed across South Gloucestershire, UK. It is intended to accelerate innovation across multiple technology domains. UMBRELLA is bu…

cs.NI2024

Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed

Peizheng Li, Ioannis Mavromatis, Aftab Khan

UMBRELLA is a large-scale, open-access Internet of Things (IoT) ecosystem incorporating over 200 multi-sensor multi-wireless nodes, 20 collaborative robots, and edge-intelligence-e…

cs.NI2022

Securing Synchronous Flooding Communications: An Atomic-SDN Implementation

Charles Lockie, Ioannis Mavromatis, Aleksandar Stanoev +2

Synchronous Flooding (SF) protocols can enhance the wireless connectivity between Internet of Things (IoT) devices. However, existing SF solutions fail to introduce sufficient secu…

cs.NI2022★ 4 cited

Reliable IoT Firmware Updates: A Large-scale Mesh Network Performance Investigation

Ioannis Mavromatis, Aleksandar Stanoev, Anthony J. Portelli +4

Internet of Things (IoT) networks require regular firmware updates to ensure enhanced security and stability. As we move towards methodologies of codifying security and policy deci…