In order to improve transmission efficiency and quality of wireless sensor data

a paired-clustering algorithm（ PCA） based on the attributes of geographical location and non-geographical location is proposed. The algorithm maps the data into grid data according to the spatial characteristics of the sensor. Grids then form new clusters with a segmenting-merging mechanism based on the density of the data and the center of gravity distance.Simulated experimental results show that PCA transmission is more efficient than traditional transmission

and has a better time efficiency than the traditional data transmission methods which are based on single point or density.Experiments also conform that PCA is more effective in clustering than former dual clustering algorithms

thus

PCA can effectively reducing the transmission cost.