水下光无线传感器网络的连接性分析与定位技术

Connectivity analysis and location technology of underwater optical wireless sensor networks

针对水下光无线传感器网络(UOWSN)节点的传输范围受限和间歇性连接的问题,利用多跳通信扩大传输范围来增强网络连接性,提出一种网络节点定位算法。首先,将UOWSN建模为三维(3D)随机缩放模型图,并根据网络节点数、通信范围以及光发散角推导了该模型下网络节点的连接性概率表达式;然后,利用接收信号强度(RSS)定位算法修正距离矢量跳数(DV-Hop)定位算法来解决网络节点的定位问题,并与现有方案进行分析对比。仿真结果表明提出的定位算法的性能明显优于标准的DV-Hop算法和Hybrid DV-Hop算法。

Aiming at the problem of limited transmission range and intermittent connection of nodes in underwater optical wireless sensor network(UOWSN),a network node localization algorithm is proposed by using multi-hop communication to expand the transmission range to enhance network connectivity.Firstly,the UOWSN is modeled as a three-dimensional(3D)random scaling model graph,and the connectivity probability expression of the network nodes under the model is derived according to the number of network nodes,communication range and optical divergence angle.Then,the received signal strength(RSS)location algorithm modified distance vector hop(DV-Hop)localization algorithm is used to solve the localization problem of network nodes,and compared with the existing schemes.The simulation results show that the performance of the proposed localization algorithm is significantly better than the standard DV-Hop algorithm and Hybrid DV-Hop algorithm.