An Adaptive Dynamic Topology WSN Data Collection Method Based on Compressive Sensing

In order to further improve the efficiency of data collection in wireless sensor networks with dynamic topology, a two stage dynamic topology compression sensing (DTCS) data collection algorithm is designed. First stage, a collection tree by using the method of maximal independent set is constructed. Second stage, the sensor nodes in the network obtains the local topology information by mutual communication. Then, according to the topology changing, the adaptive strategy is adopted to maintain the collection tree. And data is collected by compressive sensing method. Simulation experiment results show that, while ensuring the accuracy of data reconstruction, the number of measurements is reduced by the DTCS algorithm.