基于拉格朗日插值的水下无线传感器网络跨层预测抢占路由协议

Manel Baba Ahmed, M. A. Cherif, Sofiane Boukli-Hacene
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引用次数: 2

摘要

水下无线传感器网络已成为海水探测的使能技术。鉴于uwsn存在电池和带宽有限、能量约束、3D部署、暂时失去连接或链路故障等诸多挑战和问题,本文在基于向量的转发协议(VBF)的基础上,提出了一种预测性和抢占性的跨层协议CLPP-VBF,旨在利用拉格朗日插值方法预测未来的失去连接或链路故障问题。避免不必要的传输和重新发现新的转发节点,以保证数据包传输的可靠性。该方法是MAC层和网络层之间的协作。该研究已在著名的NS2网络模拟器上进行了实施和评估,并扩展了Aqua-sim;仿真结果表明,CLPP-VBF在发送包数、端到端平均延迟和能耗方面优于VBF。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Cross-Layer Predictive and Preemptive Routing Protocol for Underwater Wireless Sensor Networks Using the Lagrange Interpolation
Underwater wireless sensor networks have become enabling technology for the seawater exploration. Since they raise numerous challenges and problems such as their limited battery and bandwidth, energy-constraint, 3D deployment, and temporary losses of connectivity or link failure, in this paper, a predictive and preemptive cross-layer protocol CLPP-VBF is proposed based on the vector-based forwarding protocol (VBF) for UWSNs, aimed to predict a future loss of connectivity or link failure problems using the Lagrange interpolation method, avoiding unnecessary transmission and rediscovering another new forwarder node in order to guarantee the data packets transmission reliability. The approach is a cooperation between the medium access layer (MAC) and network layer. The study has been implemented and evaluated using the well-known NS2 network simulator with an extension Aqua-sim; the simulation performance shows the merit of CLPP-VBF against VBF in term of delivered packets, average end-to-end delay, and energy consumption.
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