Mesh Network

Mesh networks, which consist of interconnected nodes forming a self-organizing network, are being actively researched for diverse applications ranging from robotic exploration and rural internet access to 3D modeling and volumetric video streaming. Current research focuses on optimizing mesh network performance through adaptive algorithms that dynamically adjust to changing network conditions and resource constraints, exploring novel architectures like graph convolutional networks and diffusion models for efficient data processing and transmission, and leveraging techniques such as deformation-based streaming and inter-ranging for improved efficiency and accuracy. These advancements are driving significant improvements in bandwidth efficiency, localization accuracy, and overall system robustness across various domains.