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The paper is focused on the study of energy-saving data gathering strategies based on spatial correlation in wireless sensor networks (WSNs). First, the factors influencing spatial correlation on distortion are discussed, and we prove that representative nodes can be selected to reduce data transmission within a certain range of distortion. Second, the performance of greedy corrected clustering (GCC) and k-means algorithms are analyzed. An energy-efficient gathering scheme was proposed by applying GCC and k-means algorithm to a typical lowenergy adaptive clustering hierarchy (LEACH) protocol; the results of simulation show that the scheme can save energy, reduce distortion, and prolong network lifetime.

Application of Energy-efficient Data Gathering to Wireless Sensor Network by Exploiting Spatial Correlation