Algorithms for High-Performance Networking in the Presence of Obstacles

TL;DR

This paper introduces advanced algorithms and software for high-performance ultrasonic networking around obstacles, enabling shape and trajectory reconstruction, and improving network routing and performance.

Contribution

It presents novel parallel algorithms and software for obstacle shape and trajectory reconstruction using ultrasonic rays, enhancing network routing and performance.

Findings

Reconstructed obstacle shapes and trajectories accurately.

Ultrasonic rays serve as natural routers for message transmission.

Improved network performance and robustness.

Abstract

This work develops novel algorithms for high-performance networking in the presence of obstacles based on a method for communicating via ultrasonic rays reflected at the obstacles. The rays are curves determined by the variable speed of sound and initial conditions and we develop ultrasonic ray models based on a system of differential equations. We present new parallel algorithms and software for shape and trajectory reconstruction of moving obstacles and show how the reconstructed reflection point of a ray at an obstacle is a natural router for messages between the ray's transmitter and receiver and discuss the advantages of the new architecture. We discuss how the new algorithms and software improve the performance and properties of the network architecture.