干扰下工业环境中任务关键型和时间关键型无线局域网的认知无线电评估

P. Rodriguez, I. Val, Aitor Lizeaga, M. Mendicute
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引用次数: 17

摘要

本文介绍了工业无线自动化应用中无线传感器和执行器网络(wsan)的认知无线电(CR)的评估。当前的无线解决方案不能保证足够的性能,以满足基于时间关键型数据流量的硬实时和可靠性要求。这些工业应用的特点是恶劣的环境,其中无线通信的鲁棒性起着重要作用。在这些环境中,CR可以提高系统的可靠性和鲁棒性。因此,通过OPNET网络模拟器在几个衰落和干扰信道上评估了几种确保关键任务和时间关键数据传输的认知和非认知mac。提供的结果表明,基于cr的mac能够在恶劣信道和干扰下保持网络的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of cognitive radio for mission-critical and time-critical WSAN in industrial environments under interference
The evaluation of Cognitive Radio (CR) for Wireless Sensor and Actuator Networks (WSANs) in industrial wireless automation applications is presented in this contribution. Current wireless solutions do not ensure enough performance for hard real-time and reliability requirements, based on time-critical data traffic. These industrial applications are characterized by harsh environments, where the robustness of wireless communications plays an important role. In these kinds of environments, CR can increase the system's reliability and robustness. Thus, several cognitive and non-cognitive MACs which ensure mission-critical and time-critical data transmission have been evaluated through OPNET network simulator over several fading and interference channels. The provided results show that CR-based MACs are able to maintain the performance of the network in harsh channels and under interference.
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