Autonomous Street Light Simulator21st February 2014
StreetlightSim has been produced as part of Sei Ping Lau's, a member of my research team, PhD research project. The simulator is an open source streetlight simulation environment based on the well-known OMNet++ and SUMO tools. It features a customisable road traffic pattern, described by the road traffic distribution according to different times of day and annual average daily traffic flow (AADF), and can be easily extended to different streetlight networks using OpenStreetMap and JOSM.
The StreetlightSim website
StreetlightSim has been developed specifically to evaluate Autonomous and Adaptive Street Lighting Schemes. We have used it to evaluate the performance of various street lighting schemes based on an actual streetlight network in terms of their energy efficiency and utility to road users. You can find out more about the research by downloading our paper:
Sei Ping Lau, Merrett, G.V., White, N.M., 'Energy-efficient street lighting through embedded adaptive intelligence,' Advanced Logistics and Transport (ICALT), 2013 International Conference on, pp.53-58, 29-31 May 2013.
To find out more, click the link below to visit the StreetlightSim website and download it!
For more information, click here.
Presentations from Teng, Sei Ping, Luis and Davide9th July 2012
Today, Teng, Sei Ping, Luis and Davide all presented their research as part of the ESS group's student seminar series.
Teng presented his research on interoperability in wireless sensor networks, Sei Ping on intelligent adaptive street lighting, Luis on machine learning for adaptive power management, and Davide on energy-aware algorithms for wireless sensor networks.
All received a lot of useful questions and feedback on their research, and it was a useful exercise in finding out more abou... [more]
Online Presentation on Holistic Energy Harvesting18th June 2012
Today I presented our research on Holistic Energy Harvesting at the IET conference on Wireless Sensing Systems (WSS 2012). In particular, I was talking about our system demonstrator, namely a "Vibration-Powered Sensing System for Engine Condition Monitoring".
Condition monitoring is becoming an established technique for managing the maintenance of machinery in transport applications. Vibration energy harvesting allows wireless systems to be powered without batteries, but most traditional gene... [more]