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A Method for Dynamically Selecting the Best Frequency Hopping Technique in Industrial Wireless Sensor Network Applications

机译:工业无线传感器网络应用中动态选择最佳跳频技术的方法

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摘要

Industrial wireless applications often share the communication channel with other wireless technologies and communication protocols. This coexistence produces interferences and transmission errors which require appropriate mechanisms to manage retransmissions. Nevertheless, these mechanisms increase the network latency and overhead due to the retransmissions. Thus, the loss of data packets and the measures to handle them produce an undesirable drop in the QoS and hinder the overall robustness and energy efficiency of the network. Interference avoidance mechanisms, such as frequency hopping techniques, reduce the need for retransmissions due to interferences but they are often tailored to specific scenarios and are not easily adapted to other use cases. On the other hand, the total absence of interference avoidance mechanisms introduces a security risk because the communication channel may be intentionally attacked and interfered with to hinder or totally block it. In this paper we propose a method for supporting the design of communication solutions under dynamic channel interference conditions and we implement dynamic management policies for frequency hopping technique and channel selection at runtime. The method considers several standard frequency hopping techniques and quality metrics, and the quality and status of the available frequency channels to propose the best combined solution to minimize the side effects of interferences. A simulation tool has been developed and used in this work to validate the method.
机译:工业无线应用通常与其他无线技术和通信协议共享通信通道。这种共存会产生干扰和传输错误,需要适当的机制来管理重传。然而,由于重传,这些机制增加了网络等待时间和开销。因此,数据分组的丢失和处理它们的措施会导致QoS下降,并阻碍网络的整体健壮性和能效。诸如跳频技术之类的干扰避免机制减少了由于干扰引起的重传需求,但它们通常是针对特定情况而量身定制的,因此不容易适应其他用例。另一方面,完全没有干扰避免机制会带来安全风险,因为可能会故意攻击和干扰通信信道以阻止或完全阻塞通信信道。本文提出了一种在动态信道干扰条件下支持通信解决方案设计的方法,并为跳频技术和运行时的信道选择实施了动态管理策略。该方法考虑了几种标准的跳频技术和质量指标,以及可用频道的质量和状态,以提出最佳组合解决方案,以最大程度地减少干扰的副作用。已经开发出一种仿真工具,并在这项工作中使用它来验证该方法。

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