Skycube computation over wireless sensor networks based on extended skylines

With the wide application of wireless sensor network in many domains of the national economy, more and more researchers pay attentions to data management of wireless sensor network. As the main means of multi-decision and data mining, skyline query in wireless sensor network gradually becomes a focus of the researches. In recent years, skycube query has been deeply discussed, but due to the special properties of wireless sensor network, existing approaches could not be directly applied into the sensor environment, so in this paper, skycube query in wireless sensor network is further researched and a new skycube query algorithm based on extended skyline (SCAES) is proposed, too. SCAES extracts the necessary data from the network through extended skyline and filters these data that do not belong to the skycubes, by the corresponding properties, within the network. And then the data transmission is reduced. The experiment results show that SCAES could greatly reduce the data transmission, while calculating the skycube of the network, and extend the life-span of the network.