Stochastic Event-based Single Sensor Quickest Change Detection

Quickest change detection has been applied in many aspects and has shown good results in sensor networks. A change point detection problem based on stochastic event-triggered schedule is designed to address the issue of quickest change point detection with a single sensor, while also considering decreasing sensor energy. The stochastic event-triggered communication is determined by the Gaussian function and the values of uniformly distributed random variables. Under this model, mathematical expressions of three indexes were obtained, namely the average communication rate, the average detection delay, and the average communication rate. The simulation results prove that this method is effective.