  In this work an iterative solution to build a network lifetime-preserving
sampling strategy for WSNs is presented. The paper describes the necessary
steps to reconstruct a graph from application data. Once the graph structure is
obtained, a sampling strategy aimed at finding the smallest number of
concurrent sensors needed to reconstruct the data in the unsampled nodes within
a specific error bound, is presented. An iterative method then divides the
sensor nodes into sets to be sampled sequentially to increase lifetime. Results
on a real-life dataset show that the reconstruction RMSE can be easily traded
off for a larger number of disjoint sampling sets which improve the network
lifetime linearly.
