We propose a simple and energy efficient distributed Change Detection scheme for sensor networks based on Page’s parametric CUSUM algorithm. The sensor observations are IID over time and across the sensors conditioned on the change variable. Each sensor run CUSUM and transmits only when the CUSUM is above some threshold. The transmissions from the sensors are fused at the physical layer. The channel is modeled as a Multiple Access Channel (MAC) corrupted with IID noise. The fusion center which is the global decision maker, performs another CUSUM to detect the change. We provide the analysis and simulation results for our scheme and compare the performance with an existing scheme which ensures energy efficiency via optimal power selection. Key words: CUSUM, Decentralized Change Detection, Reflected Random Walk, Brownian Approximation, Sensor Networks.