Optimizing Data Transmission in IoT-Based Drone Networks Through Fog Area Division

Unmanned aerial vehicles (UAVs) equipped with cameras, sensors, and GPS receivers generate a significant amount of data that is transmitted to a base station in an Internet of Things (IoT) environment. This paper addresses the issue of repeated data transmission from drones to a base station in IoT-based networks, leading to redundancy and inefficiencies. The challenges include limited bandwidth, network congestion, and increased costs. To overcome these challenges, we propose a novel solution that involves dividing the fog area into smaller parts and optimizing data distribution among drones. We introduce the concepts of fog area division, data distribution factors, and shot-by-shot capture approach. By implementing these techniques, we aim to minimize redundancy, optimize bandwidth utilization, reduce network congestion, and lower costs in IoT-based drone networks.