Treffer: UAV hovering location optimization for maximizing the throughput of IPv6 packet broadcast in Wireless Powered Sensor Network.

In a Wireless Powered Sensor Network (WPSN) assisted by Unmanned Aerial Vehicles (UAVs), the UAVs provide wireless charging to the nodes in order to maintain uninterrupted functionality. Effective dissemination of IPv6 packets is essential in WPSN for many Internet of Things (IoT) applications, such as smart agriculture. Improving the efficiency of wireless charging to increase the transmission speed of IPv6 packets in WPSN is a critical problem. In this paper, we suggest using a Particle Swarm Optimization (PSO)-based approach to optimize the placement of UAVs. This method aims to optimize the places where UAVs hover in order to enhance the efficiency of charging nodes and ultimately boost network throughput. Our initial approach involves creating a method for broadcasting IPv6 packets in a WPSN by utilizing the combined power supply from several UAVs. This approach utilizes network coding technologies to improve the reliability of packet broadcasting. In addition, we transform the problem of IPv6 broadcasting into a unicast equivalent, resulting in a derived equation for throughput. Consequently, we establish an optimization problem where the positions of UAVs serve as variables, with the goal of maximizing network throughput as the objective function. An approach based on Particle Swarm Optimization (PSO) is developed to handle this optimization problem. The simulation results demonstrate that our method provides a throughput performance enhancement ranging from 10.39% to 70.46% compared to IFA (Improved Firefly Algorithm), Fixed, and Random solutions under various parameter configurations. [ABSTRACT FROM AUTHOR]

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