Survivable model for base station in wireless sensor network with rejuvenation technology

The conventional security technology for wireless sensor network (WSN) mainly is focused on improving the anti-invasion ability, but not on providing external services after the invasion and failure, and hence, the survivability of WSN is poor. Based on the rejuvenation technology, a survivable model for base station in WSN is designed. The uninterrupted services can be provided by the model in face of attack or failure by monitoring system performance to predict the rejuvenation interval and timely implementing rejuvenation recovery. By analyzing the probability in steady health state of the model using semi-Markov process, it is found that the detect probability in the compromised state is a key point to improve the model survivability. According to the experimental results, the failure probability varies inversely with the detect probability. Therefore, the failure probability can be reduced significantly and hence the survivability of the system can be enhanced by increasing the detect probability and timely implementing rejuvenation recovery.