Approach New Framework of Compressive Sensing Based Secret Sharing in Wireless Sensor Network: Theory and Applications

Wireless sensor networks (WSNs) have been being used in many applications in different fields. The networks facilitate either monitoring purposes or collecting data from sensing areas. However, the networks have a weakness of security problems since either sensor nodes or the whole network have very low profiles. In addition, WSNs are usually deployed in outdoor sensing areas that can be meddled easily. In this paper, we propose a new framework, called C3S, that can support sensor nodes to collect and to share their data safely. The framework deploys Compressive sensing (CS) for data collection in such networks. Only CS measurements are sent to the base-station for data reconstruction. Random seeds to generate the CS measurement matrices are different and used in the networks in different time. Hence, if anyone receives CS measurements without the right seed cannot reconstruct the original sensing data. This CS based routing method either saves energy for data collection since the number of CS measurements is smaller than the number of sensor readings from the nodes. In addition, the networks only share the random seed keys among the nodes to protect the sensing data to be meddled. We provide network models, the problem formulation and simulation results that can verify our proposed framework more clearly and significantly.