A data-related cluster architecture based pruning strategy

In this paper we proposed a skyline query algorithm-DRCSky in wireless sensor networks. According to the history data´s correlation the WSNs constructs multi-layer cluster architecture. The cluster heads collect statistic information of its member nodes, using the MIN-MAX algorithm to find the global pruning value-MINMAX-value, and then the cluster heads can determine whether to send the sensor data to its lower layer member nodes according to the MINMAX-value and the member nodes´ uploaded statistic information, and finally achieve cluster-level pruning. The performance study indicates that DRCSky algorithm effectively reduce the communication cost of the network prolong the lifetime of WSNs significantly.