Browsing by Author "Dharshini V, M."

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    Energy Harvesting Optimization in FSO Communication with SLIPT Using Advanced Splitting Methods
    (Institute of Electrical and Electronics Engineers Inc., 2025) Angayarkanni, V.; Sheeba, A.; Dharshini V, M.; Suvetha, P.; Kavitha, K.; Suveetha Dhanaselvam, P.; Karthikeyan, B.; Krishnan, P.
    This paper presents an analysis of Simultaneous Lightwave Information and Power Transfer (SLIPT) in FreeSpace Optical (FSO) communication systems, incorporating key techniques such as AC-DC Separation (ADS), Power Splitting (PS), Time Switching (TS), and a hybrid Time Switching-Power Splitting (TS-PS) scheme. Closed-form expressions for the average harvested energy are derived, considering FSO turbulence channels modeled using the Málaga distribution. Furthermore, the analysis evaluates the impact of various turbulence conditions, including clear air, heavy rain, drizzle, and light fog, as well as the influence of receiver aperture size and other system and channel parameters. The primary focus of the result is to assess the energy harvesting performance under these diverse operating conditions. © 2025 IEEE.
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    Performance Analysis of Triple Hop RF-RIS Convergent with FSO and UWOC System
    (Institute of Electrical and Electronics Engineers Inc., 2025) Sheeba, A.; Dharshini V, M.; Suvetha, P.; Kavitha, K.; Suveetha Dhanaselvam, P.; Karthikeyan, B.; Angayarkanni, V.; Krishnan, P.
    This paper proposes a hybrid communication system for integration within the space-air-ground-sea network (SAGSIN) architecture, tailored for 6G Internet of Things (6GIoT) applications. The system employs a triple-hop link combining Reconfigurable Intelligent Surface (RF-RIS), Free Space Optics (FSO), and Underwater Wireless Optical Communication (UWOC), facilitating communication between a base station, a lighthouse, a ship, and Underwater Aerial Vehicles (UWAVs). The architecture, using differential phaseshift keying, is ideal for Underwater Optical Wireless Sensor Networks (UOWSNs) and Internet of Underwater Things (IoUT). Performance analysis models RF-RIS with Nakagamim distribution, the FSO link with the Malaga distribution, and the UWOC link using the Exponential Generalized Gamma (EGG) distribution. The system's end-to-end cumulative distribution function (CDF) is evaluated via the Meijer-G function, while outage probability is examined under varying conditions, including atmospheric turbulence, fading parameters, and salinity levels. This system shows promise for coastal environments with changing weather conditions like rain, haze, and fog. © 2025 IEEE.