Edge Computing and Dynamic Vision Sensing for Low Delay Access to Visual Medical Information

TL;DR

This paper introduces a novel approach combining edge computing and Dynamic Vision Sensing to significantly reduce transmission delays in medical data access, enhancing real-time healthcare delivery.

Contribution

It presents a new method that leverages edge computing and DVS technologies to lower delays and improve service capacity in medical data transmission.

Findings

Transmission delay reduced by up to 93.23%

Edge devices can serve a larger number of patients

Simulation confirms effectiveness of the proposed scheme

Abstract

A new method is proposed to decrease the transmission delay of visual and non-visual medical records by using edge computing and Dynamic Vision Sensing (DVS) technologies. The simulation results show that the proposed scheme can decrease the transmission delay by 89.15% to 93.23%. The maximum number of patients who can be served by edge devices is analysed.