Managing massive data of the Internet of Things through cooperative semantic nodes

The Internet of Things (IoT) refers to extending the Internet to heterogeneous components such as actuators, sensors or other smart devices. In this vision, the IoT foresees novel usage of such devices through applications enabling new device-device or device-people associations. Recent interest in providing digital extensions for these things has lead to billions of connected devices offering their services or data through different platforms, some of them wrapped with semantic descriptions to realize aforementioned associations through accurate search processes. However, due to the ubiquitous aspect of the IoT and the potential mobility of the devices that compose it, a centralized approach does not allow scalable processes to search and manage these associations or the devices that composed them. As location seems to be an important parameter when searching the IoT, we believe that designing a framework composed of geographically distributed nodes with local reasoning capabilities is a much more scalable approach to realize the original IoT vision. We describe our vision by creating a federated network composed of such nodes that declare their location based on a formal model. In this vision, each node is capable of processing semantic descriptions of devices to share deduced associations with other peers that are selected based on their location nearness.