Cluster head extraction for data compression in wireless sensor networks
Han Li-hong · Journal of Computer Applications · 2012
Douglas-Peucker(DP) compression algorithm of vector data compression algorithm was introduced to wireless sensor networks,at the same time for the number of scans of the data compression process,the paper put forward an improved cluster head extraction for data compression algorithm,and the cluster head was called data cluster head.Cluster head extraction compression algorithm reduced the number of data scan in compression process by setting step,and used the optimum curve fitting method for monitoring data point to do linear optimization fitting,according to the attachment relationship of the data,and extracted the cluster head data that reflected the overall characteristics;meanwhile,the subgroups of non-cluster head data subgroups were divided.The simulation results show that,the process of cluster head extraction compression algorithm is simpler;for the large fluctuation data it has a better cluster head extraction effect;besides,it reduces the amount of network data transmission,and effectively saves the energy consumption across the network.