# A Mobile Geo-Communication Dataset for Physiology-Aware DASH in Rural Ambulance Transport

## TL;DR

This paper introduces a geo-communication dataset profiling rural ambulance routes across Illinois, supporting adaptive remote patient monitoring by analyzing bandwidth fluctuations for clinical multimedia during emergency transport.

## Contribution

It provides a comprehensive, real-world dataset of communication bandwidth and geographical data for rural ambulance routes, enabling improved QoS in remote patient monitoring systems.

## Key findings

- Dataset covers 4 major US mobile carriers in Illinois.
- Profiles bandwidth fluctuations during rural ambulance transport.
- Supports development of physiology-aware adaptive DASH.

## Abstract

Use of telecommunication technologies for remote, continuous monitoring of patients can enhance effectiveness of emergency ambulance care during transport from rural areas to a regional center hospital. However, the communication along the various routes in rural areas may have wide bandwidth ranges from 2G to 4G; some regions may have only lower satellite bandwidth available. Bandwidth fluctuation together with real-time communication of various clinical multimedia pose a major challenge during rural patient ambulance transport.; AB@The availability of a pre-transport route-dependent communication bandwidth database is an important resource in remote monitoring and clinical multimedia transmission in rural ambulance transport. Here, we present a geo-communication dataset from extensive profiling of 4 major US mobile carriers in Illinois, from the rural location of Hoopeston to the central referral hospital center at Urbana. In collaboration with Carle Foundation Hospital, we developed a profiler, and collected various geographical and communication traces for realistic emergency rural ambulance transport scenarios. Our dataset is to support our ongoing work of proposing "physiology-aware DASH", which is particularly useful for adaptive remote monitoring of critically ill patients in emergency rural ambulance transport. It provides insights on ensuring higher Quality of Service (QoS) for most critical clinical multimedia in response to changes in patients' physiological states and bandwidth conditions. Our dataset is available online for research community.