Collaboration framework for data compensation in sensor networks

This paper proposes a new approach of modeling the collaboration of sensor system artifacts to address the security and survivability concerns of sensor networks. The model considered is composed of sensors, base and users. Sensors are nodes that acquire and process data. Base is the node that acquires and processes data from sensors and provides an interface to access and monitor the sensor network while users monitor the system. The model proposed is instantiated and validated using association rule mining to compensate missing data in order to provide security and survivability to sensor networks.