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Energy-efficient analog sensing for large-scale, high-density persistent wireless monitoring

机译：高效节能的模拟感测，用于大规模，高密度的持久性无线监控

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摘要

The research challenge of current Wireless Sensor Networks (WSNs) is to design energy-efficient, low-cost, high-accuracy, self-healing, and scalable systems for applications such as environmental monitoring. Traditional WSNs consist of low density, power-hungry digital motes that are expensive and cannot remain functional for long periods on a single charge. In order to address these challenges, a dumb-sensing and smart-processing architecture that splits sensing and computation capabilities among tiers is proposed. Tier-1 consists of dumb sensors that only sense and transmit, while the nodes in Tier-2 do all the smart processing on Tier-1 sensor data. A low-power and low-cost solution for Tier-1 sensors has been proposed using Analog Joint Source Channel Coding (AJSCC). An analog circuit that realizes the rectangular type of AJSCC has been proposed and realized on a Printed Circuit Board for feasibility analysis. A prototype consisting of three Tier-1 sensors (sensing temperature and humidity) communicating to a Tier-2 Cluster Head has been demonstrated to verify the proposed approach. Results show that our framework is indeed feasible to support large scale high density and persistent WSN deployment.
机译：当前的无线传感器网络（WSN）的研究挑战是为诸如环境监测之类的应用设计节能，低成本，高精度，自修复和可扩展的系统。传统的WSN由低密度，耗电的数字微粒组成，这些微粒价格昂贵，并且一次充电就无法长时间保持功能。为了解决这些挑战，提出了一种哑感应和智能处理架构，该架构将感应和计算能力在各层之间进行了划分。第1层由仅感应和传输的哑传感器组成，而第2层中的节点对第1层传感器数据进行了所有智能处理。已经提出了一种使用模拟联合源通道编码（AJSCC）的用于Tier-1传感器的低功耗，低成本解决方案。已经提出了一种实现矩形AJSCC的模拟电路，并在印刷电路板上实现了可行性分析。已演示了由与Tier-2簇头通信的三个Tier-1传感器（感测温度和湿度）组成的原型，以验证所提出的方法。结果表明，我们的框架对于支持大规模高密度和持久的WSN部署确实是可行的。

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