Research On High Efficient Data Transmission Based On Data Aggregation In Wireless Sensor Networks

Wireless Sensor Network (WSN), which is a self-organizing network, is composed of a large number of sensor nodes which can be used for monitoring the environment information in overlay area. WSN compromises the merits of a variety of new, technology and science, which is different from traditional network. WSN is considered to be one of the most important new technologies in the21st century, changing the way human interaction with nature, which has the characteristics of rapid stationing, stronger anti-destroying ability, without a fixed network support. Based on the practical application of WSN and a list of open problems,this paper states the research significance of the high-efficient transmission technology in WSN, analyzes the key technical problems of the high-efficient transmission techniques, demonstrates data aggregation as one of the effective methods to improve the transmission efficiency. The innovation of this study is to discuss the minimum network delay and scheduling problem of data aggregation with a long lifetime. In order to satisfy the needs of maximizing lifetime and minimizing delay of data collection in WSN. On the basis of analyzing the existing problems, the paper put forward an efficient scheduling algorithm of data aggregation to balance Shortest Path Tree (ASPT). The realization of the whole algorithm consists of two parts, namely the balance of the shortest path tree building algorithm and strongest interference node priority scheduling algorithm. The algorithm consists of the balancing constructing algorithm of ASPT and the priority scheduling algorithm of the strongest jamming nodes. Matlab simulation results confirmed that the algorithm is better than the existing algorithms on time delay performance and the network life cycle. In addition, the algorithm applies to large-scale, long-term data transmission in WSN.