de Vera David Díaz Pardo, Izquierdo Alvaro Sigüenza, Vercher Jesús Bernat, Hernández Gómez Luis Alfonso
Universidad Politécnica de Madrid, GAPS-SSR, E.T.S.I. Telecomunicación, Avda. Complutense 30, 28040 Madrid, Spain.
Telefónica I+D, Ronda de la Comunicación, s/n, 28050 Madrid, Spain.
Sensors (Basel). 2014 Jun 18;14(6):10725-52. doi: 10.3390/s140610725.
Ongoing Sensor Web developments make a growing amount of heterogeneous sensor data available to smart devices. This is generating an increasing demand for homogeneous mechanisms to access, publish and share real-world information. This paper discusses, first, an architectural solution based on Next Generation Networks: a pilot Telco Ubiquitous Sensor Network (USN) Platform that embeds several OGC® Sensor Web services. This platform has already been deployed in large scale projects. Second, the USN-Platform is extended to explore a first approach to Semantic Sensor Web principles and technologies, so that smart devices can access Sensor Web data, allowing them also to share richer (semantically interpreted) information. An experimental scenario is presented: a smart car that consumes and produces real-world information which is integrated into the Semantic Sensor Web through a Telco USN-Platform. Performance tests revealed that observation publishing times with our experimental system were well within limits compatible with the adequate operation of smart safety assistance systems in vehicles. On the other hand, response times for complex queries on large repositories may be inappropriate for rapid reaction needs.
持续的传感器网络发展使得越来越多的异构传感器数据可供智能设备使用。这对访问、发布和共享现实世界信息的同类机制产生了越来越大的需求。本文首先讨论了一种基于下一代网络的架构解决方案：一个试点电信泛在传感器网络（USN）平台，该平台嵌入了多个OGC®传感器网络服务。这个平台已经在大型项目中部署。其次，扩展USN平台以探索语义传感器网络原理和技术的第一种方法，以便智能设备可以访问传感器网络数据，也允许它们共享更丰富（语义解释）的信息。提出了一个实验场景：一辆智能汽车消费和产生现实世界信息，该信息通过电信USN平台集成到语义传感器网络中。性能测试表明，我们实验系统的观测发布时间完全在与车辆智能安全辅助系统正常运行兼容的范围内。另一方面，对大型存储库进行复杂查询的响应时间可能不符合快速反应的需求。
