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We will offer a method to improve energy efficient consumption for processingqueries on the Internet of Things. We focused on an energy efficienthierarchical clustering index tree such that we can facilitate time-correlatedregion queries in the I.O.T (Internet of Things). We try to improve clusteringand make a change on its proposed index tree. We try to do this by optimizingthe query processing. We improve clustering to increase the accuracy of theInternet of Things and prevent the network from disconnecting. In the articlethat we have chosen, there is a heterogeneous cluster which means there existsa large data difference in the two ends of a cluster. Also, it often happensthat the same information is sent to the base station by two overlappingclusters; therefore, we save energy by eliminating duplicated data.

An Improved Energy-Aware Clustering Method for the Regional Queries in the Internet of Things