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

诸如智能电话的手持设备如今可以通过多个通信网络连接。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测和通信能力以及它们的地理空间能力使得能够构建采用用户生成的内容、组合感测数据和输入数据的全新的新颖服务主机。在这项研究计划中，我们的目标场景中，异构多模态数据在用户级生成-可能通过无线智能手机-并报告给外部网络进行进一步处理，聚合或服务组合。我们将开发新的架构模型、协议和算法，以在下一代网络中实现基于移动的用户生成内容的服务。用户被看作是积极的内容生成器，也移动的载体的机会感测基础设施。我们将设计多模态内容获取的有效方法。 我们将研究新的网络架构和协议，以有效地传输用户生成的内容，我们还将设计工具和架构模型，以整合基于移动的用户生成的内容与标准的下一代通信系统，即IP多媒体子系统的服务。

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.