Ubiquitous Global Sensing

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：从阻碍交通的天气/道路条件到需要准确和及时数据的紧急调度单位。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日益复杂的关系造成了复杂性，导致现有传感网络的数据收集和决策能力下降。需要能够扩展和协调协作传感系统的动态体系结构。**我将在我对无线传感网络(WSN)的研究的基础上，利用孤立存在的传感系统的丰富性和日益增长的冗余性，为泛在全球传感(UGS)创建一个框架。长期以来，无线传感器网络一直被特定于应用的推力所主导，但通过通过UGS平台增强无线传感器网络，我们可以涵盖跨不同平台的丰富资源，并征用网络附近的无线设备的资源。UGS架构可以增强性能，改善收集的数据质量，并提供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。与我的方法不同的是，我们将整合当今智能手机和智能汽车中日益丰富的资源，以及工业、市政和专有传感器中的资源。在这项研究计划的过程中，我们将创建性能评估和原型传感系统的试验台，以描述UGS范例的动态性质。此外，这项研究计划将解决保留传感器收集的数据的关键问题，即使网络无法与其通信。通过UGS，我们引入了基于感兴趣区域中可用的传感器向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、网络内数据存储技术、资源表示和管理、多跳联网和异类网络的经验。六名博士、六名硕士和六名本科生将在这个研究项目中接受培训。电信部门对这些HQP的需求很大，他们未来的就业将加快向加拿大工业传播下一代通信技术。

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.