To reduce communication overhead on the premise of privacy protection, this study presents a novel secret Confusion based energy-saving and privacypreserving data aggregation algorithm(CESPT). In confusion phase, CESPT confuses real sensory data and their sources by positive-negative pairs and a confusion factor is introduced to determine the quantity of pairs generated by a sensor, the exchange rounds and the threshold of data exchange, which affect communication overhead and privacy intensity of a Wireless sensor network(WSN). In aggregation phase, CESPT adopts a positive-negative neutralization strategy and a well-designed time slice allocation mechanism to reduce network traffic and message collision.In a word, CESPT can greatly reduce data traffic and energy consumption and obtain accurate statistical results on the basis of data privacy. To reduce communication overhead on the premise of privacy protection, this study presents a novel secret Confusion based energy-saving and privacrereserving data aggregation algorithm (CESPT). In confusion phase, CESPT confuses real sensory data and their sources by positive-negative pairs and a confusion factor is introduced to determine the quantity of pairs generated by a sensor, the exchange rounds and the threshold of data exchange, which affect communication overhead and privacy intensity of a Wireless sensor network (WSN). In aggregation phase, CESPT adopt a positive- negative neutralization strategy and a well-designed time slice allocation mechanism to reduce network traffic and message collision. a word, CESPT can greatly reduce data traffic and energy consumption and obtain accurate statistical results on the basis of data privacy.