Registration and networking over tea & coffee

Introduction to CW from Mark Rayner, CEO, CW (Cambridge Wireless)

Session 1: Chaired by Brian Collins, Managing Consultant, BSC Associates and Radio Technology SIG Champion

Duncan Bennett, Business Development Manager, IndesmaTech

'A Review of LoRaWAN'

A brief summary of the current status of LoRaWAN as a communications technology. Starting with some basics of the LoRa modulation technique and deeper dive into the LoRaWAN specification produced by the LoRa Alliance. Then onto some examples of products on the market and how they enable users to quickly deploy their own LoRaWAN solution. Finally, a quick look at the commercially available network solutions including satellite based solutions.

Dr Yichao Jin CEng, FIET, Research Fellow & Programme Leader of Industrial Wireless Networks, Bristol Research & Innovation Laboratory & Toshiba Europe Limited

'LoRaWAN deployment and Use cases in large-scale UMBRELLA IIoT city testbed'

• Introduction to Umbrella Industrial IoT testbed
• LoRaWAN development architecture and Coverage in Umbrella
• LoRaWAN based Innovation Use cases

Mark Beach, Professor of Radio Systems Engineering, University of Bristol

'Rogue Sensor Identification for LoRaWAN deployments'

With the ever-increasing use of low-cost wireless IoT technology for telemetry applications, including use cases within critical infrastructure, ensuring the ongoing security and resilience of these technologies is of paramount importance. However, as with many of the wireless networks that underpin modern life, these technologies rely on radio frequency (RF) interfaces which can be vulnerable to cyber-attacks or other failures. The detection and mitigation of potential RF cyber intrusions forms one of the research priorities of the UKRI Prosperity Partnership in Secure Wireless Agile Networks (SWAN).Within SWAN, we have adopted LoRaWAN, a proprietary low-power wide area technology developed for the Internet of Things (IoT), as a candidate technology for detailed evaluation given the increasing prevalence within remote telemetry applications. In this presentation, a novel unsupervised machine learning (ML) algorithm is presented for the expeditious RF fingerprinting of LoRa modulated chirps, as rogue device identification based on received signal strength indicator (RSSI) alone is unlikely to yield a robust means for sensor authentication within critical infrastructure deployments. Specifically, an unsupervised ML algorithm is used to rapidly train an artificial neural network (ANN) matrix creating self-organizing maps (SOMs) for each authentic transmitter and a potential rogue node. The SOMs are then used to train a general classifier which will be shown to reliably profile each transmitter as friend or foe.

Networking refreshment break

Session 2: Chaired by Dr Vidhya Sridhar, TTP Group and Radio Technology SIG Champion

Daniel Clarke, Stakeholder & Partnerships Manager, Connecting Cambridgeshire

Speaker to be announced shortly

Panel session with all speakers, Chaired by Dr Vidhya Sridhar, TTP Group and Radio Technology SIG Champion

Closing remarks

Delegates are invited to join the CW Founders' Dinner drinks reception, which is being held in the same location