Asymptotic Performance Analysis of Distributed Non-Bayesian Quickest Change Detection with Energy Harvesting Sensors
This paper focuses on the distributed non-Bayesian quickest change detection based on the Cumulative Sum (CUSUM) algorithm in an energy harvesting wireless sensor network (WSN), where the distributions before and after the change point are assumed to be known. Each sensor is powered by randomly available harvested energy from the surroundings. It samples the observation signal and computes the log