Ubiquitous Intelligent Sensing and Networking for Mobile Users

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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.