自组织网络中基于数据包的可靠路径智能选择

R. Lent
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引用次数: 10

摘要

本文研究了自组织认知分组网络中智能分组动态发现可靠路径的方法,以支持鲁棒通信和服务。节点的可靠性是由数据包移动到目的地时观察到的与时间相关的概率变量来表征的。反馈系统允许网络信息的分布被未来的路由决策所利用,以改善或维持路径的可靠性。可靠性状况通过数据包持续监控,当检测到潜在风险时,将向源节点发送信号以重启发现过程。最后,仿真研究报告了当智能数据包具有基于跳数和基于可靠性指标的路由目标时,无线网络的最终性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart packet-based selection of reliable paths in ad hoc networks
This paper studies the dynamic discovery of reliable paths by smart packets in ad hoc cognitive packet networks with the aim of supporting robust communications and services. The reliability of nodes is characterized by time-dependent probability variables that packets observe as they move to their destinations. A feedback system allows the distribution of network information to be exploited by future routing decisions to improve or maintain the reliability of paths. Reliability conditions are continuously monitored by packets and a signal is sent to the source node to restart a discovery process whenever a potential risk is detected. Finally, a simulation study reports the resulting performance of a wireless network when smart packets have routing goals based on hop count and reliability-based metrics.
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