Title: LAMP POST: Robust Intelligent Lamp Post (ILP) Sensor Networks for Energy Efficient Transportation Systems
PI: Prof Blythe & Dr Nallanathan; Newcastle University & King’s College London
Fund: £406k TEDDI 2 year
Project lifespan: Nov 2010 to Feb 2013
Contact: firstname.lastname@example.org, email@example.com
LAMPPOST proposed research is to develop radically new strategies and protocols for the supply of both energy and data communications along existing power transmission lines used by Intelligent Vehicle and Transport Infrastructures, IVTI. In particular will be tested how the power line communications (PLC) will be potentially used as a method for data transmission in a large-scale smart sensor network, where the sensors are embedded in smart street furniture (e.g. lamp posts, buildings both sides of the road etc.). Newcastle’s role is to support King’s College London in the development of the integration of data communications (PLC) with the existing “mote” technology developed in the MESSAGE project and to demonstrate the integration in an indoor outdoor Integrated Technology demonstration.
The purpose of the proposed research is to develop radically new strategies and protocols for the supply of both energy and data communications along existing power transmission lines used by Intelligent Vehicle and Transport Infrastructures, IVTI. Energy demand is reduced due to its potential for seamless integration of novel pervasive sensors with legacy technologies for indoor and outdoor monitoring using existing power line infrastructures. The project builds upon our expertise in communication and information technology at King’s College London and the pioneering mote technology developed at the Newcastle University in the EU ASTRA, and the EPSRC MESSAGE, projects. The impact of these results will be significant at a time when UK Government acknowledges the crucial role of Intelligent Vehicle and Transport Systems, IVTS, technology to make more efficient use of existing infrastructure in the delivery of a low carbon transport systems for the future. The development of dense, pervasive, multitask sensor networks, that provide real-time traffic flow information and monitor several environmental factors (such as pollutants from vehicles) has been demonstrated in MESSAGE to facilitate the development of more efficient traffic control schemes, thus leading to a significant reduction in the energy consumption and environmental pollution. We aim to disseminate the results not only through outstanding publications but importantly through existing links in the regional transport boards, Foresight Intelligent Infrastructure Forum in UK and Europe, and ITS World Congress generating knowledge dialogue at all stages of the project.
Kings College London
Dr Arumugam Nallanathan