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A light-weight simulator used to illustrate the use of Delay Tolerant Networks as a supplement for Cloud Connectivity for Rural Remote Patient Monitoring.

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ICNC20

This repository contains a *light-weight simulator used to illustrate the use of Delay Tolerant Networks as a supplement for Cloud Connectivity for Rural Remote Patient Monitoring.

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  • classification.csv: A csv file containing the daily acivities and their classifications.
  • activity_tracker.ipynb: A jupyter notebook containing the analysis of the Mobility Sample Data.
  • simulation.ipynb: A jupyter notebook for running a simulation and analyzing results of a simulation

Publications

For more information about the simulator, please refer to our paper. If you use this simulator or code in your own work, we are happy to receive a citation.

Esther Max-Onakpoya, Oluwashina Madamori, Faren Grant, Robin Vander-pool, Ming-Yuan Chih, David K. Ahern, Eliah Aronoff-Spencer, and Corey E.Baker. 2019. Augmenting Cloud Connectivity with Opportunistic Networksfor Rural Remote Patient Monitoring.

Comments

Based on the IPUMS ATUS terms and conditions, redistribution of ATUS data is not permitted https://www.atusdata.org/atus/terms.shtml. However, you may obtain an extract from their website: https://www.atusdata.org/atus-action/variables/group

To replicate our work, you would need to obtain the 2017 sample and use the following variables:

Type Variable Label
H RECTYPE Record Type
H CASEID ATUS Case ID
H METRO Metropolitan/central city status
P FULLPART Full time/part time employment status
A ACTLINE Activity line number
A ACTIVITY Activity
A START Activity start time
A STOP Activity stop time

We converted the data from dat to the csv format ('b.csv' file), which had the following headings: RECTYPE, CASEID, METRO, FULLPART, ACTLINE, ACTIVITY, START, STOP. A viable way to do the conversion is by using the syntax file to extract and read the data via SAS, SPSS, or STATA to convert the data to csv.

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A light-weight simulator used to illustrate the use of Delay Tolerant Networks as a supplement for Cloud Connectivity for Rural Remote Patient Monitoring.

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