基于分区最优筛选的无线传感网数据传输算法

Data transmission algorithm in wireless sensor networks based on partition optimal filtering mechanism

为解决当前WSN网络数据汇聚过程中难以动态搜寻关键点,且在其数据传输中存在多个关键点时往往导致资源竞争过度等问题,提出基于分区最优筛选机制的无线传感网关键数据稳定传输算法。将无线传感网以混沌态分区方式进行初步关键点归类划分,形成关键划分阈值实现对网络的区域更新;在区域更新后,通过综合判断区域内的能量及整条汇聚链路的抖动情况,定义稳定传输规则,实现数据在网络链路抖动过程中的稳定传输;通过该稳定传输规则,依据能量剩余情进行链路更新,实现数据的稳定汇聚。仿真结果表明,与当前WSN关键数据传输算法相比,所提算法具有更低的负载控制开销与数据抖动周期。

For current WSN network data aggregation process, the key point is difficult to be dynamically searched and data transmission in the presence of multiple key points often leads to excessive competition and other problems. A key data stable transmission algorithm for wireless sensor networks based on the partition optimal selection mechanism was proposed. The key points of the wireless sensor network were classified according to the chaotic state, and the critical partition threshold was formed. The first partition of the network was realized according to the threshold value. After the partition was completed, the stability transfer rules were defined by the integrated judgment of the energy and the jitter of the whole convergence link. The link was updated by the stable transmission rule and based on the residual energy of the energy. Simulation results show that the proposed algorithm has obvious advanced performance in the load control overhead and data jitter cycle compared with the tradi-tional WSN key data transmission algorithm.