Enabling service provisioning based on mobile users generated content in next generation networks

如今，智能手机等手持设备可以通过多个通信网络进行连接。它们还能够找到自己的位置，感知环境，识别射频识别标签，并拍摄图像或视频。这些新一代无线设备的感知和通信能力，以及它们的地理空间能力，使其能够构建一系列全新的新服务，这些服务使用用户生成的内容，将感知和输入数据结合在一起。在这项研究计划中，我们的目标是在用户级别(可能通过无线智能手机)生成异类多模式数据，并将其报告给外部网络以进行进一步处理、聚合或服务组合。我们将开发新的架构模型、协议和算法，使下一代网络中基于移动用户生成内容的服务成为可能。用户被视为活跃的内容生成者，也是机会主义感知基础设施的移动载体。我们将设计高效的多模式内容获取方法。我们将研究新的网络体系结构和协议，以有效地传输用户生成的内容，并设计工具和体系结构模型，将基于移动用户生成的内容的服务与标准的下一代通信系统，即IP多媒体子系统相结合。

Handheld devices, such as smart phones, can nowadays connect through multiple communication networks. They also are capable of finding their location, sensing the environment, identifying radio frequency identification tags, and taking images or video. Sensing and communication capabilities of these new generations of wireless devices, together with their geospatial capabilities enable to build a whole new host of novel services that employ user-generated content, combining sensed and input data. In this research program, we target scenarios where heterogeneous multimodal data are generated at the user level - possibly via a wireless smart phone - and reported to outside networks for further processing, aggregation or service composition. We will develop novel architectural models, protocols, and algorithms to enable services based on mobile users' generated content in next generation networks. Users are seen as active content generators and also mobile carriers of opportunistic sensing infrastructures. We will design efficient approaches for multimodal content acquisition. We will research novel networking architectures and protocols for the efficient transmission of user-generated content, and we will also design tools and architectural models to integrate services based on mobile users generated content with standard next generation communication systems, namely the IP Multimedia Subsystem.