【摘要】 为实现节点稀疏状态下的无线传感网络节点数据的优化传输,解决当前信道拓扑优化传输算法中因压缩编码导致信息传输失真现象,提出一种基于正交旋转误差精度提升的无线传感网络节点信道拓扑优化传输算法。基于双线性映射(bilinear form,BF)与拓扑扫描(topological scanning,TS)模型,结合正交旋转思想,构建归一化耦合矩阵,实现对多个节点数据的并发多路传输;基于DCT(discrete cosine transform)机制,建立传输信源,实现数据传输过程中的量化评估;设计误差精度提升机制,采用TLC(transmission link correction)方式构造耦合函数,将传输信源进行二次耦合,降低信道噪声的影响。仿真结果表明,与当前常用LT算法及AEMD算法相比,该算法具有更高的数据压缩性能与更强的抗干扰能力,以及更低的数据误码率。更多还原

【Abstract】 To achieve the optimal transmission of wireless sensor network node data in the node sparse state,and solve the problem of information transmission distortion caused by compression coding in the current channel topology optimization algorithm,the wireless sensor network node channel topology optimization algorithm based on orthogonal rotation error precision was proposed.The normalized coupling matrix was constructed to realize the multiple node data transmission based on bilinear map and topological scanning model,as well as the orthogonal rotation.The transmission source was established based on the DCT mechanism to realize the quantitative evaluation of the data transmission.The coupling function was constructed using TLC method and the error precision promotion mechanism was designed to reduce the influence of the channel noise.Simulation results show that this algorithm has better data compression performance and stronger anti-interference ability,as well as the lower data error rate compared with the current LT algorithm and AEMD algorithm.更多还原