Work

Healthcare Supported by Data Mule Networks in Remote Communities of the Amazon Region

Year: 2014

Type: article

Abstract: This paper investigates the feasibility of using boats as data mule nodes, carrying medical ultrasound videos from remote and isolated communities in the Amazon region in Brazil, to the main city of that area. The videos will be used by physicians to perform remote analysis and follow-up routine of prenatal examinations of pregnant women. Two open source simulators (the ONE and NS-2) were used to evaluate the results obtained utilizing a CoDPON (continuous displacement plan oriented network). The simulations took into account the connection times between the network nodes (boats) and the number of nodes on each boat route.

Source: International Scholarly Research Notices

DOI: 10.1155/2014/730760

Authors: Mauro Margalho Coutinho, Alon Efrat, Thienne Johnson, Andrea Richa, Mengxue Liu

Institutions: Universidade da Amazônia, University of Arizona, Arizona State University

Language: English

Topic: Opportunistic and Delay-Tolerant Networks

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Funders: National Science Foundation, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior