基于旋跳自漂移修正的WSN网络信号源定位算法

为解决移动无线传感网在部署过程中存在信号源定位困难、数据链路防抖动性能差及信号上传带宽受限等难题,提出了一种基于旋跳自漂移修正机制的超高速移动WSN网络信号源定位算法.首先,考虑到区域内锚节点具有的信号源稳定特性,依据信号强度和跳数的逆向关系,构建信号强度-节点跳数强度搜寻方法,实现了信号源的定位,并从中选取性能最佳的区域节点;随后,基于移动无线传感网节点在高速移动过程中存在的频率漂移,计算锚节点跳数漂移误差,通过修正锚节点间物理差的方式来提高节点的覆盖能力,降低区域节点对区域外信号源的频率干涉覆盖现象,从而提升信号上传带宽;最后,考虑到sink节点具有的中央控制特性,通过sink节点控制来建立锚节点粒子群移动模型,使用周期递归的方式消除移动过程中锚节点移动性过高带来的频率及坐标抖动难题,进一步降低了信号源定位过程中的误差.仿真实验表明,在复杂网络条件下,与当前移动WSN网络定位中常用的超混沌偏移修正定位算法、螺旋递归自适应定位算法和逐次跌跳收敛定位算法相比,本文算法具有更高的定位精度与信号上传带宽性能,且相应的定位误差更低.

The Signal Source Localization Algorithm for WSN Network Based on Spin-Jump Self-Drift Correction

Due to the difficulty in signal source localization, the poor anti-jitter performance of the data links and limited bandwidth of signal transmission of the current mobile wireless sensor networks (WNSs) in the process of their deployment, this paper proposes a new algorithm for ultra-high speed mobile WSN network signal source localization based on the spin jump drift correction mechanism. Taking into consideration the signal stability characteristics of the anchor node in an area, and based on the inverse relationship between signal intensity and number of hops, we first design a method to search the signal intensity-node hop strength, thus succeeding in achieving the positioning of the signal source and selecting the best performance of the regional nodes. Then, based on the fact that a frequency drift occurs in the high-speed mobile process of the mobile WSN nodes, we calculate the error of anchor node hop drift, and improve the coverage of the nodes through the correction of the physical difference between the anchor nodes. As a result, the frequency interference coverage of the signal sources outside the region by the regional nodes is reduced and the bandwidth of signal transmission is improved. Finally, taking into account the fact that the sink node has the characteristics of central control, this paper establishes a mobile anchor node particle swarm model through the sink node control mode, and eliminate the frequency jitter problem of mobile anchor node coordinate in the process of mobility brought by the high cycle using recursive way. Simulation results show that compared with the chaotic offset correction localization algorithm, spiral recursive adaptive localization algorithm and localization algorithm convergence of successive jump down commonly used in the mobile location in WSN networks, this algorithm has higher positioning accuracy and signal upload bandwidth and lower positioning error in complex network conditions.