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.

拟议研究的目的是制定沿智能车辆和运输基础设施使用的现有电力传输线的能源和数据通信的根本新策略和协议，IVTI。由于使用现有电力线基础架构将新型普遍传感器与用于室内和室外监测的旧技术无缝整合的潜力，能源需求降低了。该项目基于我们在伦敦国王学院的通信和信息技术方面的专业知识，以及在欧盟Astra的纽卡斯尔大学开发的开创性的MOTE技术以及EPSRC消息项目。在英国政府承认智能车辆和运输系统，IVT，技术以更有效地利用现有基础设施在未来提供低碳运输系统时，将更有效地利用现有基础设施的关键作用，这些结果的影响将是重大的。在信息中证明了致密，普遍，多任务传感器网络的开发，这些传感器网络可提供实时交通流量信息并监控几种环境因素（例如来自车辆的污染物），以促进更有效的交通控制计划的发展，从而大大降低能源消耗和环境污染。我们的目标不仅通过出色的出版物来传播结果，而且重要的是通过区域运输委员会的现有链接，英国和欧洲的前瞻性智能基础设施论坛以及其在该项目的各个阶段产生知识对话的智能基础设施论坛。

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