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：从阻碍运输的天气/道路状况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输回处理中心。随着社会的发展，交通、市政和技术系统之间越来越多的纠缠造成了复杂性，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同传感系统的动态架构。**我将以我在无线传感网络（wsn）方面的研究为基础，利用孤立存在的传感系统的丰富性和日益增长的冗余性，为无处不在的全球传感（UGS）创建一个框架。长期以来，无线传感器网络一直被特定应用所主导，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，并在网络附近获取无线设备的资源。UGS体系结构可以增强性能，提高收集数据的质量，并提供一个内在可扩展的体系结构，动态响应传感需求。为鼓励多个网络拥有人贡献资源，我会引入动态收费计划的定价机制。我的独特之处在于，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，我们将为性能评估和原型传感系统创建测试平台，以描述UGS范式的动态特性。此外，该研究计划将解决传感器收集数据的关键问题，即使网络无法通信。通过UGS，我们引入了一种基于感兴趣区域可用传感器的按需wsn的范式转变。**本项目涉及的高素质人才培训将包括WSN协议设计、网内数据存储技术、资源表示和管理、多跳网络和异构网络方面的经验。本项目将培养6名博士、6名硕士、6名本科生。电信行业对这些HQP有强烈的需求，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。

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.