Wei Zhengxian, Song Min, Yin Guisheng, Wang Hongbin, Ma Xuefei, Song Houbing
College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China.
Science and Technology on Underwater Acoustic Autagonizing Laboratory, Systems Engineering Research Institute, Beijing 100094, China.
Sensors (Basel). 2017 Jul 12;17(7):1619. doi: 10.3390/s17071619.
Underwater wireless sensor networks (UWSNs) have become a new hot research area. However, due to the work dynamics and harsh ocean environment, how to obtain an UWSN with the best systematic performance while deploying as few sensor nodes as possible and setting up self-adaptive networking is an urgent problem that needs to be solved. Consequently, sensor deployment, networking, and performance calculation of UWSNs are challenging issues, hence the study in this paper centers on this topic and three relevant methods and models are put forward. Firstly, the normal body-centered cubic lattice to cross body-centered cubic lattice (CBCL) has been improved, and a deployment process and topology generation method are built. Then most importantly, a cross deployment networking method (CDNM) for UWSNs suitable for the underwater environment is proposed. Furthermore, a systematic quar-performance calculation model (SQPCM) is proposed from an integrated perspective, in which the systematic performance of a UWSN includes coverage, connectivity, durability and rapid-reactivity. Besides, measurement models are established based on the relationship between systematic performance and influencing parameters. Finally, the influencing parameters are divided into three types, namely, constraint parameters, device performance and networking parameters. Based on these, a networking parameters adjustment method (NPAM) for optimized systematic performance of UWSNs has been presented. The simulation results demonstrate that the approach proposed in this paper is feasible and efficient in networking and performance calculation of UWSNs.
水下无线传感器网络(UWSNs)已成为一个新的热门研究领域。然而,由于工作动态性和恶劣的海洋环境,如何在尽可能少地部署传感器节点并建立自适应网络的同时获得具有最佳系统性能的水下无线传感器网络是一个亟待解决的问题。因此,水下无线传感器网络的传感器部署、组网和性能计算是具有挑战性的问题,本文的研究围绕这一主题展开,并提出了三种相关方法和模型。首先,对常规的体心立方晶格到交叉体心立方晶格(CBCL)进行了改进,并构建了一种部署过程和拓扑生成方法。然后,最重要的是,提出了一种适用于水下环境的水下无线传感器网络交叉部署组网方法(CDNM)。此外,从综合角度提出了一种系统四性能计算模型(SQPCM),其中水下无线传感器网络的系统性能包括覆盖范围、连通性、耐久性和快速反应性。此外,基于系统性能与影响参数之间的关系建立了测量模型。最后,将影响参数分为三类,即约束参数、设备性能和组网参数。基于此,提出了一种用于优化水下无线传感器网络系统性能的组网参数调整方法(NPAM)。仿真结果表明,本文提出的方法在水下无线传感器网络的组网和性能计算方面是可行且高效的。