In order to mitigate the"hot spot"problem in wireless sensor networks（ WSNs）

which is caused by the multi-hop transmission mode

an energy-efficient clustering data aggregation algorithm（ EECDA） is proposed. The clustering algorithm（ EECDA） for WSNs considering the residual energy of nodes

distance to base station and number of neighbor nodes periodically select cluster heads and divide into different size clusters; data in cluster are fused

using Simpson ’s rule to predict receiving data premise of ensuring real-time and accuracy of data acquisition

reduce redundant of data

reduce traffic load and improve energy efficiency of the network. The simulation results show that the algorithm can efficiently predict the data to reduce the traffic data

compared to existing algorithms

it can effectively extend lifetime of the network.