Managing Massive Data of the Internet of Things through Cooperative Semantic Nodes

The Internet of Things refers to extending the Internet to physical entities of interest (EoI) to humans (e.g. a table, a room or another human being) sensed as a set of properties that can be observed, measured, accessed or triggered by devices such as actuators, sensors or other smart components. In this vision, the IoT foresees novel types of applications dynamically finding the associations between devices and EoIs around a common feature of interest (e.g. temperature of a room) to provide meaningful information as well as rich services to users about the things they are interested in. Growing interest in providing sensors and actuators has led to billions of services or data offered 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 enable it, a centralized approach does not allow designing scalable processes to efficiently search and manage these associations or the devices and EoIs that compose 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 IoT vision. We describe our approach of such 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 or EoIs to share deduced associations with other peers that are selected based on their location nearness.