Ubiquitous Global Sensing

无处不在的全球感知

• 批准号: RGPIN-2014-06587
• 负责人: Hassanein, Hossam
• 金额: $ 2.84万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=653185
• 关键词: Ubiquitous; Global; Sensing

Our everyday lives are increasingly coupled with real-time data gathering and decision making: from weather/road conditions that impede transportation to emergency dispatch units that require accurate and timely data. To be efficient, these data gathering and decision making processes require an abundance of sensors to collect data and reliable networks to communicate data back to processing centers. As societies grow, the increasing entanglements between transportation, municipal and technological systems create complexities that cause the data gathering and decision making capabilities of existing sensing networks to decrease. Dynamic architectures capable of scaling and harmoniously synergizing sensing systems are needed. **I will build on my research in wireless sensing networks (WSNs), capitalizing on the abundance and growing redundancy of sensing systems that exist in isolation, to create a framework for Ubiquitous Global Sensing (UGS). WSNs have long been dominated by an application-specific thrust but, by enhancing WSNs through a UGS platform, we can encompass resources that are abundant across heterogeneous platforms and enlist the resources of wireless devices in the vicinity of the network. A UGS architecture can enhance performance, improve the quality of data gathered and present an intrinsically scalable architecture that dynamically responds to sensing needs. To encourage multiple-network owners to contribute resources, I will introduce pricing mechanisms for dynamic payment schemes. Unique to my approach, we will integrate the resources increasingly abundant in today's smartphones and smart vehicles, as well as those found in industrial, municipal and proprietary sensors. In the course of this research program, we will create test beds for performance evaluation and prototype sensing systems that depict the dynamic nature of the UGS paradigm. In addition, this research program will tackle the critical issue of retaining data collected by sensors, even when the network fails to communicate it. Through UGS, we introduce a paradigm shift to on-demand WSNs based on the available sensors in the region of interest.**Training of highly qualified personnel involved in this program will include experience in WSN protocol design, in-network data storage techniques, resource representation and management, multi-hop networking and heterogeneous networks. Six PhD, six Master's and six undergraduate students will receive training through in this research program. There is a strong demand for these HQP in the telecommunications sector and their future employment will accelerate dissemination of next-generation communications technology to Canadian industry.

我们的日常生活越来越多地与实时数据收集和决策相结合：从阻碍运输的天气/道路状况到需要准确及时数据的紧急调度单元。为了提高效率，这些数据收集和决策过程需要大量的传感器来收集数据，并需要可靠的网络将数据传回处理中心。随着社会的发展，交通、市政和技术系统之间的联系越来越多，造成了复杂性，导致现有传感网络的数据收集和决策能力下降。需要能够缩放和和谐协同感测系统的动态架构。** 我将建立在我的研究在无线传感网络（WSNs），利用丰富和日益增长的冗余的传感系统存在于隔离，创建一个框架，无处不在的全球传感（UGS）。无线传感器网络长期以来一直由特定于应用的推力主导，但是，通过UGS平台增强无线传感器网络，我们可以包含跨异构平台的丰富资源，并在网络附近的无线设备的资源。UGS架构可以增强性能，提高所收集数据的质量，并提供一种动态响应传感需求的内在可扩展架构。为了鼓励多网络所有者贡献资源，我将引入动态支付方案的定价机制。我们将整合当今智能手机和智能汽车以及工业、市政和专有传感器中日益丰富的资源。 在这项研究计划的过程中，我们将创建测试床的性能评估和原型传感系统，描绘的动态性质的UGS范式。此外，该研究计划将解决保留传感器收集的数据的关键问题，即使网络无法传输数据。通过UGS，我们引入了基于感兴趣区域内可用传感器的按需无线传感器网络的范式转变。**参与该计划的高素质人员的培训将包括WSN协议设计，网络数据存储技术，资源表示和管理，多跳网络和异构网络的经验。六名博士，六名硕士和六名本科生将通过本研究计划接受培训。电信部门对这些HQP的需求很大，他们未来的就业将加速下一代通信技术向加拿大工业的传播。