Improving robustness in DTN networks that carries large medical files in Amazonia

M. Margalho; A. Efrat; T. Johnson

doi:10.1109/TLA.2016.7430100

Improving robustness in DTN networks that carries large medical files in Amazonia

M. Margalho, A. Efrat, T. Johnson

Computer Science

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

This paper presents a proposal for improving robustness and reliability in Delay Tolerant Networks (DTN), used to transmit large data files for healthcare applications. The scenario is the Marajó archipelago in the Brazilian Amazon, where communication infrastructure is almost non-existent and there is a special need for medical services. The use of Fountain codes, network coding and proximity layering to messages acknowledgments were investigated. Four Store-Carry-Forward protocols were analyzed by simulation and results show that the Spray and Wait protocol is the better option for the scenario.

Original language	English (US)
Article number	7430100
Pages (from-to)	349-355
Number of pages	7
Journal	IEEE Latin America Transactions
Volume	14
Issue number	1
DOIs	https://doi.org/10.1109/TLA.2016.7430100
State	Published - Jan 2016

Keywords

Amazon
CoDPON
Data mule
Fountain codes
Network coding
Simulation

ASJC Scopus subject areas

General Computer Science
Electrical and Electronic Engineering

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10.1109/TLA.2016.7430100

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abstract = "This paper presents a proposal for improving robustness and reliability in Delay Tolerant Networks (DTN), used to transmit large data files for healthcare applications. The scenario is the Maraj{\'o} archipelago in the Brazilian Amazon, where communication infrastructure is almost non-existent and there is a special need for medical services. The use of Fountain codes, network coding and proximity layering to messages acknowledgments were investigated. Four Store-Carry-Forward protocols were analyzed by simulation and results show that the Spray and Wait protocol is the better option for the scenario.",

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AB - This paper presents a proposal for improving robustness and reliability in Delay Tolerant Networks (DTN), used to transmit large data files for healthcare applications. The scenario is the Marajó archipelago in the Brazilian Amazon, where communication infrastructure is almost non-existent and there is a special need for medical services. The use of Fountain codes, network coding and proximity layering to messages acknowledgments were investigated. Four Store-Carry-Forward protocols were analyzed by simulation and results show that the Spray and Wait protocol is the better option for the scenario.

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KW - Network coding

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Improving robustness in DTN networks that carries large medical files in Amazonia

Abstract

Keywords

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