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Cross Deployment Networking and Systematic Performance Analysis of Underwater Wireless Sensor Networks

机译：水下无线传感器网络的交叉部署网络和系统性能分析

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摘要

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.
机译：水下无线传感器网络（UWSN）已成为一个新的热门研究领域。然而，由于工作动态和恶劣的海洋环境，如何在部署尽可能少的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UWSN是一个亟待解决的问题。因此，UWSN的传感器部署，网络连接和性能计算是具有挑战性的问题，因此本文的研究集中在该主题上，并提出了三种相关的方法和模型。首先，对法向体心立方晶格进行了改进，建立了展开过程和拓扑生成方法。然后，最重要的是，提出了适用于水下环境的UWSN的交叉部署网络方法（CDNM）。此外，从集成的角度提出了系统的四方性能计算模型（SQPCM），其中UWSN的系统性能包括覆盖范围，连接性，耐用性和快速反应性。此外，还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，影响参数分为约束参数，设备性能和组网参数三类。基于这些，提出了一种用于优化UWSN的系统性能的网络参数调整方法（NPAM）。仿真结果表明，本文提出的方法在UWSN的组网和性能计算中是可行，有效的。

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