Hierarchical Data Aggregation Algorithm of WSNs Based on the Adaptive Weighted and LZW

A hierarchical data aggregation algorithm is proposed which based on the adaptive weighted and LZW to improve the accuracy of data collection,enhance the efficiency of data collection and reduce the energy consumption of the sensor nodes.Data sent by sensor nodes is processed by cluster head sensor by using the adaptive weighted to estimate the value when the mean square error is Minimum.And then the cluster head node compresses the processed data using LZW algorithm with a certain amount of information before data transmission.Simulation results show that the hierarchical aggregation algorithm improves the accuracy of data collection,reduces the energy consumption of network effectively and extends the life cycle of wireless sensor networks.