Virtual Full Replication for Wireless Sensor Networks

We propose to use a distributed real-time database with Virtual Full Replication by Adaptive Segmentation, for whiteboard communication in a sensor network with mobile sink nodes. Sensor networks are large scale applications with limited resources, so they need scalable propagation of sensor data, both to the users inside the network and to the network edges. Virtual full replication enables scalable and adaptive propagation of sensor data, by bounding resource usage to the current data needs. We use a two-tiered wireless sensor network, where each sensor value is published in the distributed database at gateways of the upper tier. Mobile users search for sensor data only at the gateways, which limits the search space.