基于模拟水下无线传感器网络的输油管道监测性能提升

Waseem M. Jassim, A. E. Abdelkareem
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引用次数: 0

摘要

在过去的二十年中,水声传感器网络已经开始用于商业和非商业目的。本文的重点是对输油管道性能监测系统的改进。线性无线传感器网络是水下应用的一种模式,在过去几年的数据收集研究中,已经开发了许多解决方案。在水下环境中,存在传播时延大、误差率高、带宽容量有限、通信距离短等固有局限性。许多部署算法和路由算法已被应用于该领域。本文提出了一种新的分层网络模型,改进了智能重定向或跳转算法(SRJ)。将该改进算法应用于水下线性无线传感器网络中进行数据传输,降低了中继节点路由算法的复杂度,减少了通信延迟。本工作是在omnet++和MATLAB集成的基础上实现的。基于吞吐量、能耗和端到端延迟得到的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Enhancement of Oil pipeline Monitoring for a Simulated Underwater Wireless Sensor Network
In the last two decades, underwater acoustic sensor networks have begun to be used for commercial and non-commercial purposes. In this paper, the focus will be on improving the monitoring performance system of oil pipelines. Linear wireless sensor networks are a model of underwater applications for which many solutions have been developed through several research studies in previous years for data collection research. In underwater environments, there are certain inherent limitations, like large propagation delays, high error rate, limited bandwidth capacity, and communication with short-range. Many deployment algorithms and routing algorithms have been used in this field. In this work a new hierarchical network model proposed with improvement to Smart Redirect or Jump algorithm (SRJ). This improved algorithm is used in an underwater linear wireless sensor network for data transfer to reduce the complexity in routing algorithm for relay nodes which boost delay in communication.  This work is implemented using OMNeT++ and MATLAB based on their integration. The results obtained based on throughput, energy consumption, and end to the end delay.
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