Robust Intelligent Lamp Post (ILP) Sensor Networks for Energy Efficient Transportation Systems

用于节能交通系统的稳健智能灯柱 (ILP) 传感器网络

• 批准号: EP/I000054/1
• 负责人: Arumugam Nallanathan
• 金额: $ 20.93万
• 依托单位: King's College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2010
• 资助国家: 英国
• 起止时间: 2010 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FI000054%2F1
• 关键词: Robust; Intelligent; Lamp; Post; ILP

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.

拟议的研究的目的是开发全新的战略和协议，用于供应能源和数据通信沿着现有的电力传输线所使用的智能车辆和运输系统结构，IVTI。能源需求减少，因为它有可能无缝集成的新型普适传感器与传统技术的室内和室外监测使用现有的电力线基础设施。该项目建立在我们在伦敦国王学院的通信和信息技术专业知识和欧盟ASTRA的纽卡斯尔大学开发的开创性微尘技术以及EPSRC MESSAGE项目的基础上。在英国政府承认智能车辆和运输系统（IVTS）技术在更有效地利用现有基础设施为未来提供低碳运输系统方面的关键作用时，这些结果的影响将是显著的。密集的，无处不在的，多任务的传感器网络，提供实时的交通流量信息和监测几个环境因素（如车辆的污染物）的发展已被证明在MESSAGE，以促进更有效的交通控制方案的发展，从而导致能源消耗和环境污染的显着减少。我们的目标不仅是通过优秀的出版物传播成果，而且重要的是通过区域交通委员会，英国和欧洲的Focal智能基础设施论坛以及ITS世界大会的现有联系，在项目的各个阶段进行知识对话。

项目成果

WIDEBAND SPECTRUM SENSING FOR COGNITIVE RADIO NETWORKS: A SURVEY

• DOI: 10.1109/mwc.2013.6507397
• 发表时间: 2013-04-01
• 期刊: IEEE WIRELESS COMMUNICATIONS
• 影响因子: 12.9
• 作者: Sun, Hongjian;Nallanathan, Arumugam;Chen, Yunfei
• 通讯作者: Chen, Yunfei

Optimization of Cooperative Spectrum Sensing in Cognitive Radio

• DOI: 10.1109/tvt.2011.2116815
• 发表时间: 2011-02
• 期刊: IEEE Transactions on Vehicular Technology
• 影响因子: 6.8
• 作者: T. Cui;F. Gao;A. Nallanathan

Energy Imbalance Management Using a Robust Pricing Scheme

• DOI: 10.1109/tsg.2012.2216554
• 发表时间: 2013-06
• 期刊: IEEE Transactions on Smart Grid
• 影响因子: 9.6
• 作者: Wei-Yu Chiu;Hongjian Sun;H. Poor