Energy Efficient Block Division Methods for Data Aggregation in Wireless Sensor Networks

In this paper, data collection schemes with data aggregation for static sink are proposed in wireless sensor networks. According to the distribution of source nodes in whole sensor field, we use a block partition scheme and then each block selects a sensor node as local sink for the data collection of the local area. Furthermore, the local sink would transmit the data to the global sink after aggregating to achieve the purpose of reducing energy consumption. From the simulation results, it shows that our proposed methods are more efficient in the energy consumption and the data delivery ratio.