Recently, Nanonetworks has been envisioned as a predominant technology. Applications of whose ranges from environment to agriculture and biomedical to military, almost in every field of human life. It plays a vital role in crop monitoring for high-resolution agriculture and in detection of emitted volatile organic compounds. However, sensing range of an individual nanosensor is limited. Multi-hop, relay system can be used to enhance the transmission range of nanosensor based Nanonetworks. This manuscript presents various performance measure of an Electromagnetic Nanonetworks under Amplify-and-Forward (AF) relaying for plant monitoring. Specifically, proposes closed form expressions for Average Error Rate and Spectral Efficiency (SE) of Differential Binary Phase Shift Keying (DBPSK) and Differential Quadrature Phase Shift Keying (DQPSK) modulation schemes of Nanonetworks under dual AF relaying. It is worthful to mention that plant scenarios and hence fading model for different types of plant is different. Therefore, in analysis fading channel from source to relay (S-R) is taken as Fox’s H (FH) function which realizes different fading models, such as EGK, Fisher-Snedecor (FS) distribution and Alpha-Mu fading models, as its special cases to represent different plant scenarios. Whereas, fading model from relay to destination (R-D) is taken as Generalized-Gamma (GG). It is observed that an increase in the value of severity and/or shaping parameters decreases the average error rate. On the other hand, converse is true for the spectral efficiency. Analytical results show perfect agreement with simulation.

近来，已经将纳米网络设想为主要技术。其应用范围从环境到农业，从生物医学到军事，几乎在人类生活的每个领域中。它在高分辨率农业的作物监测和排放的挥发性有机化合物的检测中起着至关重要的作用。然而，单个纳米传感器的感测范围是有限的。多跳中继系统可用于增强基于纳米传感器的纳米网络的传输范围。该手稿介绍了在用于工厂监控的放大转发（AF）中继下电磁纳米网络的各种性能度量。具体来说，提出了双AF中继下纳米网络的差分二进制相移键控（DBPSK）和差分正交相移键控（DQPSK）调制方案的平均错误率和频谱效率（SE）的闭式表达式。值得一提的是，不同类型植物的植物场景以及衰落模型是不同的。因此，在分析中，从源到中继（SR）的衰落信道被视为Fox的H（FH）函数，它实现了不同的衰落模型，例如EGK，Fisher-Snedecor（FS）分布和Alpha-Mu衰落模型。代表不同的工厂场景。而从中继站到目的地（RD）的衰落模型被视为通用伽玛（GG）。可以看出，严重性和/或整形参数值的增加会降低平均错误率。另一方面，对于频谱效率而言反之亦然。分析结果表明与仿真完全吻合。