Study on the influence of data fusion on clustering energy in wireless sensor networks

WSN research focuses on low cost, low consumption and high efficiency, which are also important parameters for network performance. One of the main objectives of wireless sensor network design is to improve the energy efficiency. How to efficiently utilize sensor nodes to prolong the lifespan of a wireless network has long been a research topic. This paper deals with influence to the fusion of part of the related data on the energy consumption of network clustering in WSN. Based on the hypothesis that the data packets transmitted by cluster-head node after data fusion are the minimum with the rate distortion function theory. The study shows that node energy consumption largely depends on its location: although some nodes are comparatively distant from the sink node, they are likely to consume more energy.