Abstract: The invention provides a system for Reconfigurable Intelligent Surfaces (RIS) assisted environmental impairment-aware robust cost-efficient Fiber-Wireless (FiWi) network planning and upgradation which mitigates signal loss caused by the environmental impairments including rain attenuation. The system comprises at least one prediction module, at least one outage computation module, and at least one RIS placement module. The prediction module forecasts the environmental impairments that degrade the signal quality. The outage computation module is fed with output of the prediction module to identify the outage regions based on environmental conditions and channel impairments. The outage computation module analyzes user locations and channel conditions including Signal-to-Interference-plus-Noise Ratio (SINR) to detect users in the outage regions.

Abstract: It is quite apparent that deployment of different sensors or combination of different sensors in underwater sensor network (UWSNs) helps researchers and environmentalists to gather valuable data on oceanography, marine life, water quality, and environmental changes in underwater ecosystems, contributing to a better understanding of the planet's aquatic environments. Therefore, the present invention is directed to provide a system and method for establishing energy-optimized UAV-assisted underwater wireless sensor network (FIG. 1) to collect data from sensor nodes placed underwater through deployment of a set number of gateway nodes equipped with solar harvesting module embedded on to them. The purpose of this invention is to reduce the impact of the hot-spot issue in UWSN.