Robust Intelligent Lamp Post (ILP) Sensor Networks for Energy Efficient Transportation Systems
Lead Research Organisation:
King's College London
Department Name: Engineering
Abstract
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.
Planned Impact
The UK Government's energy policy is to tackle the climate change by reducing carbon dioxide emissions and to ensure clean, secure and affordable energy. The Department for Transport recognises the important role of embedded intelligence in vehicles and systems technologies and their integration to deliver improved efficiency. Fundamental to the success of delivery of energy savings is continuous simultaneous data access to monitor the system: its changing use and capacity. This project outcome will increase the effectiveness of the transport system as the proposed robust sensor network is going to provide real time traffic information and well as parking space information to the public. Due to this real time information, fuel consumption and environmental pollution are reduced. This will make an impact on the quality of life. Proposed sensor network can easily be implemented via existing power line infrastructure. Hence the implementation cost would be less, additional resource cost almost zero and the proposed network deployment will attract industries and services generating employment opportunities. Therefore the proposed outcome will make an impact on economy and create economic competiveness. Proposed network opens up a complimentary communications path to the usage of ISM frequency bands, where current Wi-Fi operates. Therefore, congestion is reduced in the ISM bands. Hence this frequency band will efficiently be used for other applications to improve the quality of life. Potential impact of the application of the integrated mote networks (indoor, outdoor and mobile) is huge especially if compatibility with existing intelligent vehicle and systems is delivered. Impacts will include health, individualised seamless public transport information, better management of emergency, climate change mitigation and adaptation etc.
People |
ORCID iD |
Arumugam Nallanathan (Principal Investigator) |
Publications
Chiu W
(2013)
Energy Imbalance Management Using a Robust Pricing Scheme
in IEEE Transactions on Smart Grid
Cui T
(2011)
Optimization of Cooperative Spectrum Sensing in Cognitive Radio
in IEEE Transactions on Vehicular Technology
Hongjian Sun
(2013)
Wideband spectrum sensing for cognitive radio networks: a survey
in IEEE Wireless Communications
Hongjian Sun
(2012)
Wideband Spectrum Sensing With Sub-Nyquist Sampling in Cognitive Radios
in IEEE Transactions on Signal Processing
Stotas S
(2011)
On the Outage Capacity of Sensing-Enhanced Spectrum Sharing Cognitive Radio Systems in Fading Channels
in IEEE Transactions on Communications
Stotas S
(2012)
On the Throughput and Spectrum Sensing Enhancement of Opportunistic Spectrum Access Cognitive Radio Networks
in IEEE Transactions on Wireless Communications
Stotas S
(2011)
Enhancing the Capacity of Spectrum Sharing Cognitive Radio Networks
in IEEE Transactions on Vehicular Technology
Sun H
(2012)
Adaptive Compressive Spectrum Sensing for Wideband Cognitive Radios
in IEEE Communications Letters
Description | Developed new strategies and protocols for the supply of both energy and data communications along existing power transmission lines. Developed relaying technologies to enhance the coverage of power line communication systems. We contributed to the IEEE P1900.6 standard. H. Sun, A. Nallanathan, O. Holland and H. Aghvami, ''Wideband Spectrum Sensing in 1900.6'', IEEE P1900.6 standard, December 2012. |
Exploitation Route | The outcome of this project would greatly benefit the transportation industries in the U.K. PI of this project formed two new multidisciplinary consortium (smart grid and smart building) to exploit the results of this project. Our project partners at Newcastle University have established industrial contacts in transport sector to exploit the results further. |
Sectors | Digital/Communication/Information Technologies (including Software) Environment Transport |
Description | We published our findings of this project in the International Journals and conferences. The outcome of this project has been useful to form new consortium and submit new research proposals in Digital Economy. In particular, the outcome of this proposal has been used to secure EPSRC acceleration fund and Dr. Holland (KCL) contributed to the IEEE Standard. |
First Year Of Impact | 2016 |
Sector | Digital/Communication/Information Technologies (including Software),Transport |
Impact Types | Economic |
Description | Collaborative Research on Smart Grid |
Organisation | Princeton University |
Country | United States |
Sector | Academic/University |
PI Contribution | Joint Journal and Conference publications on Smart Grid |
Collaborator Contribution | Joint Journal and Conference publications on Smart Grid |
Impact | [01] H. Sun, A. Nallanathan, Bo Tan, Jing Jiang, John S. Thompson and H. Vincent Poor, "Relaying Technologies of ICT for Smart Grid", IEEE Wireless Communications, pp. 52-59, December 2012. [02] H. Sun, Chiu Wei-Yu, J. Jiang, A. Nallanathan and H. Vincent Poor, "Wideband Spectrum Sensing with Sub-Nyquist Sampling in Cognitive Radios", IEEE Trans. on Signal Processing, Vol. 60, No.11, pp. 6068-6073, November 2012. [03] Hongjian Sun, A. Nallanathan, Jing Jiang and H. Vincent Poor, "Compressive Autonomous Sensing (CASe) for Wideband Spectrum Sensing", Proc. of IEEE ICC'12, Ottawa, Canada, June 2012. |
Start Year | 2011 |