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Impulsive Interference Avoidance in Dense Wireless Sensor Networks

机译:密集无线传感器网络中的脉冲干扰避免

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Wireless sensor networks (WSNs) are subject to interference from other users of the radio-frequency (RF) medium. If the WSN nodes can recognize the interference pattern, they can benefit from steering their transmissions around it. This possibility has stirred some interest among researchers involved in cognitive radios, where special hardware has been postulated to circumvent non-random interference. Our goal is to explore ways of enhancing medium access control (MAC) schemes operating within the framework of traditional off-the-shelf RF modules applicable in low-cost WSN motes, such that they can detect interference patterns in the neighbourhood and creatively respond to them, mitigating their negative impact on the packet reception rate. In this paper, and based on previous work on the post-deployment characterization of a channel aimed at identifying "spiky" interference patterns, we describe (a) a way to incorporate interference models into an existing WSN emulator and (b) the subsequent evaluation of a proof-of-concept MAC technique for circumventing the interference. We found that an interference-aware MAC can improve the packet delivery rates in these environments at the cost of increased, but acceptable, latency.
机译:无线传感器网络(WSN)受到射频(RF)介质其他用户的干扰。如果WSN节点可以识别干扰模式,则可以从围绕其的传输中受益。这种可能性激起了参与认知无线电的研究人员的兴趣,在该研究中,假定使用特殊硬件来规避非随机干扰。我们的目标是探索增强适用于低成本WSN节点的传统现成RF模块框架内运行的媒体访问控制(MAC)方案的方法,以便它们可以检测附近的干扰模式并创造性地响应它们,减轻了它们对数据包接收速率的负面影响。在本文中,基于先前对旨在识别“尖峰”干扰模式的信道的部署后表征的研究,我们描述了(a)将干扰模型合并到现有WSN仿真器中的方法,以及(b)随后的评估概念证明MAC技术来规避干扰。我们发现,具有干扰意识的MAC可以在这些环境中提高数据包的传输速率,但代价是增加了但可以接受的延迟。

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