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Energy harvesting noise pollution sensing WSN mote: Survey of capabilities and limitations

机译:能量收集噪声污染感测WSN微粒:功能和局限性调查

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Wireless sensor networks (WSNs) are potentially a boon to the implementation and enforcement of noise codes which now exist for many major cities all over the world. Unfortunately, the high energy required by the noise measurement process and the reliance of sensor motes on batteries make the management of noise sensing WSNs cumbersome. Giving motes energy harvesting (EH) capabilities could alleviate such a problem, and several EH WSNs have already been demonstrated. Nevertheless, the high frequency nature of the data required to measure noise places significant additional challenges to the design of EH WSNs. In this paper, we characterize the capabilities and limitations of a WSN mote designed to measure noise. We identify, through specification analysis and experimentation, the performance-limiting factors in each step of the noise measurement process. These steps include sound gathering, data processing, and result transmission. The prospect of the entire process being powered by energy-harvesting means is also evaluated. For each step, we also discuss and recommend measures that would help improve the overall system performance
机译:无线传感器网络(WSN)潜在地推动了噪声代码的实施和实施,而噪声代码现在已在全球许多主要城市中使用。不幸的是,噪声测量过程所需要的高能量以及传感器微粒对电池的依赖使噪声传感WSN的管理变得麻烦。提供微粒能量收集(EH)功能可以缓解这种问题,并且已经展示了几种EH WSN。然而,测量噪声所需的数据的高频性质对EH WSN的设计提出了重大的额外挑战。在本文中,我们描述了旨在测量噪声的WSN微粒的功能和局限性。通过规范分析和实验,我们确定了噪声测量过程中每个步骤中的性能限制因素。这些步骤包括声音收集,数据处理和结果传输。还评估了由能量收集装置提供动力的整个过程的前景。对于每一步,我们还讨论并推荐有助于改善整体系统性能的措施

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