An open, flexible and multilevel data storing and processing platform for very large scale sensor network

All kinds of sensor network have been deployed all over the world. Combining some of these networks, we can get a larger sensor network. The data of very large scale sensor network are polymorphous, heterogeneous, large in quantity and time-limited. In its application, how to store and process these data has become a key technology. The major contribution of this paper is proposing a data Processing model based on Cloud computing for very large scale sensor network. In this flexible model, the huge sensor data and node information are stored in Multilevel Data storage including local data bases of different devices and distributed data bases of cloud; Different kinds of computations are decomposed and distributed on different nodes mainly considering their differences on computation ability and power supply. The clouds make the development and deployment of applications base on these very large scale data very easy. We have setup a platform to verify this model base on some open source software. This platform composes of sensor nodes, WIFI and Zigbee networks, embedded gateways, local servers, and clouds. Different data bases including SQLite, TinyDB, MySQL, MongoDB and Cassandra have been used for different type of devices to store data. We also have developed some cloud applications for it. The result shows that this platform base on the new computation model is flexible, easy to develop new application and energy balanced for sensor node.