The distinctive characteristics of unmanned aerial vehicle networks (UAVNs), including highly dynamic network topology, high mobility, and open-air wireless environments, may make UAVNs vulnerable to attacks and threats. Due to the special security requirements, researching in the high reliability of the power and communication network in drone monitoring system become special important. The reliability of the communication network and power in the drone monitoring system has been studied. In order to assess the reliability of the system power supply in the drone emergency monitoring system, the accelerated life tests under constant stress were presented based on the exponential distribution. Through a comparative analysis of lots of factors, the temperature was chosen as the constant accelerated stress parameter. With regard to the data statistical analysis, the type-I censoring sample method was put forward. The mathematical model of the drone monitoring power supply was established and the average life expectancy curve was obtained under different temperatures through the analysis of experimental data. The results demonstrated that the mathematical model and the average life expectancy curve were fit for the actual very well. With overall consideration of the communication network topology structure and network capacity the improved EED-SDP method was put forward in drone monitoring. It is concluded that reliability analysis of power and communication network in drone monitoring system is remarkably important to improve the reliability of drone monitoring system.

Electrical life is an important parameter to estimate the reliability of a relay, and it is greatly affected by load current. In order to shorten the time of life test, load current stress accelerated life tests were carried out by using a life test system designed for relay in this paper. During the life test, many parameters such as the contact resistance, the closing time and the over-travel time of relay were measured for each operation to identify the failure modes. After the life test, the failure mechanisms under each current stress, which cause the same failure mode, were analyzed by investigating the variations of parameters and observing the morphology of contact surface. In addition, for the purpose of further studying the consistency of failure mechanisms between different current stress, a Weibull statistical analysis was adopted to estimate the shape parameter of Weibull distribution because the same shape parameter means the same failure mechanism. Finally, a statistical model for estimating the lifetime under load current stress was built. The research methods and conclusions mentioned in this paper are meaningful to perform the accelerated life tests for other types of relays.