In this manuscript, plasmonic metal conductors such as Silver, Gold, Aluminum, Copper, Chromium, Tungsten, Titanium, and Nickel are investigated on a T-shaped Nano dipole antenna using dielectric materials such as Silicon Dioxide, Zinc Oxide, Indium Tin Oxide, and Silicon Nitride. The optical properties of the conductors and dielectric materials are modeled using Drude and Lorentz dispersive models, respectively. It is observed that the Aluminium metal supports high quality plasmonic oscillations for a wide range of Terahertz frequencies. The Aluminium metal also shows high losses occurring at the Terahertz frequency among the other metals. The Gold and Silver can resonate in the visible region and have moderate losses compared to the other plasmonic metals. It is noticed that the near-zero permittivity point of the Silicon Dioxide substrate occurs at 2875 THz which is much greater than the other three substrates. Further, it is observed that on the Silicon Dioxide, Zinc Oxide, and Silicon Nitride substrates the Silver Nano dipole antenna shows the maximum directivity of 6.615 dBi, 5.671 dBi, and 5.709 dBi, respectively. The Aluminium Nano-antenna gives the maximum directivity of 5.066 dBi on the Indium Tin Oxide substrate. The Silver-Silicon Dioxide Nano-antenna will be suitable for the terahertz optical wireless communication.

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In this manuscript the plasmonic flower shaped silver nano dipole antenna is investigated on the silicon dioxide substrate for the optical wireless communication. The nano-circuit modeling of the proposed flower shaped nano dipole antenna is discussed which will enable the design of nano-photonic chips. The resonance tuning of the proposed flower shaped nano antenna is exhibited through end-to-end stacking of the flower cells over a petal of the nanostructure. The various possible structures were designed to tune the frequency in the range from 170 to 271 THz which covers 1550 nm window of the optical communication. The gap tuned flower shaped nano dipole antenna is designed by controlling the optical coupling of the waves in between two dipole arms of the nano-antenna. Further the detailed investigation on the performance of the flower shaped nano dipole antenna is executed through the design parameters such as gap of the nano dipole antenna feed G and radius of the flower cell R. The optimum nano-antenna characteristics which are suitable for the optical wireless communication are observed at the resonance frequencies such as 270, 284.5, 260.5, 226.5 and 209 THz with reflection coefficients −42.17, −42.42, −42.17, −45.20 and −50.33 dB respectively.

Because of the enhancement in the data center services, the “Elastic Optical Network (EON)” is a very successive framework to interlink the information centers. The EON can elastically provide a spectrum tailored for multiple needs of bandwidths. In the link failure case, confirming the high stage “Quality of Service (QoS)” for candidate requests after the fault leads to an experiment focus. With the help of the modern digital signal processing approaches and developments in the integrated circuits and the coherent receivers in EON is able to estimate the link failures in the present time. The high-speed network survivability is highly important. When the sizes of the network get enhanced, the likelihood of the node and link impairment is also enhanced. Therefore, to predict the link impairment in EON, an adaptive technique is necessary. To accomplish this objective, a novel methodology is proposed using hybrid heuristic improvement. In the first stage, the required data is gathered and fed into the link failure detection model. The novel method is named an Atrous Spatial Pyramid Pooling – 1 Dimensional Convolution Neural Network with Attention mechanism (ASPP-1DCNN-AM), in which some of the hyper-parameters are tuned by proposing the hybrid algorithm as Iteration-aided Position of Beetle and Barnacles Mating (IPBBM). After forecasting the failure link, the model is in need of finding the optimal routing for better communication. Here, the optimal path is identified by using the IPBBM algorithm. Finally, the validation is done using divergent measurements and in contrast with traditional models. Hence, the designed system demonstrates that it achieves the higher detection results to make the data transmission effectively.