Wireless sensor network is usually applied to environment which is difficult to conditions or traces. In order to cover the detection area

the method of random broadcast large-scale is used to deploy sensor node

but this also caused some local sensors overmuch

information redundancy and energy waste. The energy is the most important parameter index of wireless sensor network. Based on the classic clustering routing

experience selection algorithm is used to judge their own information is redundant information or not after several launch in the area which deploy too much nodes

so as to choose launch data or not. This saves quite a part of the node energy. The simulation results show that it can prolong the network life time.