Ubiquitous Intelligent Sensing and Networking for Mobile Users

我们建议使用配备多个传感器的下一代无线设备来研究以用户为中心的内容生成和数据融合。该项目旨在解决开发通用解决方案的基本问题，这些解决方案使用感觉信息，结合新的网络和数据融合技术，为用户生成的内容创建和处理建立新的应用程序。我们对这个问题的看法是自下而上的，通过自动收集和报告数据的自主非协调传感器有机地执行传感。这与传统的传感器网络形成了鲜明的对比，在传统的传感器网络中，除非有缺陷，否则传感器将参与数据收集。因此，自主传感器可能会产生稀疏的数据样本。此外，在本研究中，我们将考虑多模式传感器。实际上，收集的数据可能是矢量形式的，每个元素代表信号的一种形态。我们的项目有三个主要组成部分：感知、通信和处理。这三个组件是智能内容生成、交付和服务组合系统的主要元素。我们将利用信号处理领域的最新进展，即压缩传感，研究数据传感技术，并将其与新的无线通信和网络技术以及先进的数据融合方法相结合，以产生解决方案，其中数据由可能收集和报告数据的自主传感器以有机形式生成。我们还将考虑具有多种无线通信功能的设备，如手机、WiFi和蓝牙。我们的研究将为数据采集和服务组合选择最佳的通信手段，并降低成本。

We propose research in user-centric content generation and data fusion using next generation wireless devices equipped with multiple sensors. This project aims to address the fundamental issues for developing generic solutions that use sensory information, combined with new networking and data fusion techniques, to build novel applications for user-generated content creation and processing. Our view to the problem is bottom-up with the sensing performed organically with autonomous uncoordinated sensors that voluntarily collect and report data. This is in contrast to the conventional sensor networks in which sensors -- unless defective -- are expected to participate in data collection. As a result autonomous sensors might produce sparse data sample. Furthermore, in this research we will consider multimodal sensors. In effect, collected data might be in a vector form with each element representing a modality of the signal. Our project has three main components: sensing, communication, and processing. These three components are chief elements of an intelligent content generation, delivery, and service composition system. We will investigate into data sensing techniques using recent advances in signal processing, namely compressive sensing, and combine it with new wireless communication and networking technologies, and advanced data fusion methods to produce solutions in which data are generated in an organic form by autonomous sensors that may collect and report data. We will also consider units with multiple wireless communication capabilities, such as cellular phone, WiFi, and Bluetooth. Our research will select the best communication means for data gathering and service composition, and reduced cost.