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