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Dynamic channel allocation in electromagnetic nanonetworks for high resolution monitoring of plants

机译：电磁纳米网络中的动态通道分配，用于植物的高分辨率监控

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We investigate techniques to enable communication in the THz band between graphene-based nanoscale devices and microscale network components for agricultural crop-monitoring applications. The properties of THz communications, in particular sensitivity to moisture levels on the communications path and attenuation by obstacles (e.g., leaves) mean that achieving a desired level of throughput of monitoring data can be difficult. Using a simplified model of plant structure and typical plant moisture patterns, we analyze the performance of four frequency selection strategies in terms of throughput and energy utilization for varying numbers of nano and microscale devices, moisture concentration patterns and plant leaf densities. We find that a Two-Phase optimization strategy for frequency selection performs best in a wide range of operational conditions and that leaf density has a significant impact on achievable throughput. Our plant model could serve as a useful basis for planning the necessary concentration of nano and microscale devices to deploy on particular crop types in order to meet given network performance targets.
机译：我们研究了使基于石墨烯的纳米级设备与微型网络组件之间在太赫兹频带中进行通信的技术，以用于农业作物监控应用。太赫兹通信的特性，特别是对通信路径上的水分含量的敏感性以及障碍物（例如树叶）的衰减，意味着很难达到所需的监视数据吞吐量水平。我们使用简化的植物结构模型和典型的植物水分模式，分析了四种频率选择策略在不同数量的纳米和微米级设备的通量和能量利用率，水分浓度模式和植物叶片密度方面的性能。我们发现，针对频率选择的两阶段优化策略在广泛的运行条件下效果最佳，并且叶片密度对可达到的吞吐量具有重大影响。我们的工厂模型可以作为规划必要的纳米和微米级设备浓度的有用基础，以便将其部署在特定的作物类型上，从而达到给定的网络性能目标。

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