Armita Afsharinejad

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Future wireless nanosensor networks are envisioned to operate in the THz band, due to the tiny size of the network components. Among the diverse range of applications that such networks promise, high-resolution plant monitoring systems are the categories which can benefit from the size and high sensitivity of nanosensor devices and also the high bandwidth(More)
We propose and evaluate a number of of frequency selection strategies for nano-scale devices using graphene-based nano-antennas (“graphennas”), which operate in the Terahertz band. The strategies take into account the limitations of Terahertz channel and aim to optimize the overall network transmission rate of a network of nano-devices, while maximizing(More)
Graphene-based nano-antennas can enable wireless communications between nano-scale devices. Large numbers of nano-devices can be connected to form networks enabling a variety of applications, such as agricultural crop monitoring. Graphennas will resonate in the THz band, so high data rates are theoretically achievable. However, properties of THz(More)
As a step towards the realization of wireless nanosensor networks in agricultural monitoring applications, a theoretical path-loss model is proposed. This model can predict the average attenuation of THz radiation in a channel composed of air and plant leaves, given the composition of air as well as attributes of leaves such as their permitivity. In(More)
As the Packet/Cell Loss Ratio (PLR/CLR) is counted as one of the major Quality of Service (QoS) requirements; in this paper we proposed a linear upper bound expression for the loss probability approximation in high-speed communication network technologies. These technologies can support multiple classes of traffic with different QoS requirements and diverse(More)
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