Abstract: An important goal in the design of wireless sensor networks is to maximize the lifetime under limited energy because of the battery capacity is difficult to reinforce.Innetwork data aggregation is an effective approach to reducing the amount of data transfer and total energy consumption aiming at lifetime maximization in wireless sensor networks.This paper proposes an incluster data aggregation method by utilizing the technology of reducing dimensions in the principal component analysis theory.The main idea of this method is that the cluster head node executes lineal transformations to transform the practical correlative variables which transform the member nodes into a few of disrelated compositive indexes, and subsequently transmits these resultant data in order to minimize the data transfer and energy consumption.The theoretical analysis and the instance validation show that this method has considerable validity and practicability.

Key words: wireless sensor networks, data aggregation, principal component analysis