Gathering, processing and sharing data in a sensor-internet
John Heidemann, Unkyu Park · 2011
Sensor networks have been proposed and deployed for study of scientific phenomena with levels of detail that was previously impossible. Recently urban sensing, participating sensing emerge as an effort to sensors in our daily life. To date, these deployments are isolated patches, each with different mechanisms to deliver data to their users, and often have no method to share data with others. We propose a Sensor-Internet architecture to interconnect isolated sensornets focusing on reprocessing existing data and sharing them conveniently among different organizations. The thesis of this dissertation is that simple design and easy-to-use of gathering, processing and sharing sensor data enables people to observe current status of physical phenomena and add value to the shared data. We substantiate this thesis through the following three approaches. First, we provide easy-to-use abstractions to enable a sensor data sharing system, so that many people can participate sharing sensor data. Second, we explore an efficient design of sensor data sharing system. Third, we present prototype systems and practical sensor applications to show our easy-to-use and efficiency in gathering, processing, and sharing sensor data.