747 citations · 811 across the 13 of their papers we have counts for
15 papers
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…
FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments
Theo Chow, Usman Raza, Ioannis Mavromatis +1
Intelligent, large-scale IoT ecosystems have become possible due to recent advancements in sensing technologies, distributed learning, and low-power inference in embedded devices.…
Understanding Concurrent Transmissions: The Impact of Carrier Frequency Offset and RF Interference on Physical Layer Performance
Michael Baddeley, Carlo Alberto Boano, Antonio Escobar-Molero +7
The popularity of concurrent transmissions (CT) has soared after recent studies have shown their feasibility on the four physical layers specified by BLE 5, hence providing an alte…
Deep Transfer Learning for WiFi Localization
Peizheng Li, Han Cui, Aftab Khan +4
This paper studies a WiFi indoor localisation technique based on using a deep learning model and its transfer strategies. We take CSI packets collected via the WiFi standard channe…
6TiSCH++ with Bluetooth 5 and Concurrent Transmissions
Michael Baddeley, Adnan Aijaz, Usman Raza +5
Targeting dependable communications for industrial Internet of Things applications, IETF 6TiSCH provides mechanisms for efficient scheduling, routing, and forwarding of IPv6 traffi…
Wireless Localisation in WiFi using Novel Deep Architectures
Peizheng Li, Han Cui, Aftab Khan +4
This paper studies the indoor localisation of WiFi devices based on a commodity chipset and standard channel sounding. First, we present a novel shallow neural network (SNN) in whi…