Utilizing opportunistic social networks for remote patient monitoring in rural areas

Esther Max-Onakpoya; Shina Madamori; Corey E. Baker

doi:10.1145/3364544.3364831

Utilizing opportunistic social networks for remote patient monitoring in rural areas

Esther Max-Onakpoya, Shina Madamori, Corey E. Baker

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

The use of Internet connectivity for remote patient monitoring is often unsuitable for rural communities where Internet infrastructure is lacking, and power outages are frequent. This paper explores the rural connectivity problem in the context of remote patient monitoring and analyzes the feasibility of utilizing a delay tolerant network (DTN) architecture that leverages the social behaviors of rural community members to enable out-of-range monitoring of patients in rural communities without local transportation systems. The feasibility is characterized using delivery latency and delivery rate with the number of participants and the number of sources as variables. The architecture is evaluated for Owingsville, KY using U.S. Census Bureau, the National Cancer Institute's, and IPUMS ATUS sample data. The findings show that within a 24 hour window, there is an exponential relationship between the number of participants in the network and the delivery rate with a minimal delivery of 38.7%, a maximal delivery rate of a 100% and an overall average delivery rate of 89.8%.

Original language	English
Title of host publication	TESCA 2019 - Proceedings of the 2019 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities, co-located with the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, ACM BuildSys 2019
Pages	46-49
Number of pages	4
ISBN (Electronic)	9781450370158
DOIs	https://doi.org/10.1145/3364544.3364831
State	Published - Nov 13 2019
Event	1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities, TESCA 2019, co-located with the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, ACM BuildSys 2019 - New York, United States Duration: Nov 13 2019 → Nov 14 2019

Publication series

Name	TESCA 2019 - Proceedings of the 2019 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities, co-located with the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, ACM BuildSys 2019

Conference

Conference	1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities, TESCA 2019, co-located with the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, ACM BuildSys 2019
Country/Territory	United States
City	New York
Period	11/13/19 → 11/14/19

Bibliographical note

Publisher Copyright:
© 2019 Association for Computing Machinery.

Keywords

Bluetooth
Delay tolerant networks
Device-to-device
MHealth
Mobile ad hoc networks
Opportunistic communication
Rural remote patient monitoring

ASJC Scopus subject areas

Computer Science Applications
Information Systems
Building and Construction
Architecture

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3364544.3364831

Cite this

Max-Onakpoya, E., Madamori, S., & Baker, C. E. (2019). Utilizing opportunistic social networks for remote patient monitoring in rural areas. In TESCA 2019 - Proceedings of the 2019 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities, co-located with the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, ACM BuildSys 2019 (pp. 46-49). (TESCA 2019 - Proceedings of the 2019 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities, co-located with the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, ACM BuildSys 2019). https://doi.org/10.1145/3364544.3364831

Max-Onakpoya, Esther ; Madamori, Shina ; Baker, Corey E. / Utilizing opportunistic social networks for remote patient monitoring in rural areas. TESCA 2019 - Proceedings of the 2019 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities, co-located with the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, ACM BuildSys 2019. 2019. pp. 46-49 (TESCA 2019 - Proceedings of the 2019 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities, co-located with the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, ACM BuildSys 2019).

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abstract = "The use of Internet connectivity for remote patient monitoring is often unsuitable for rural communities where Internet infrastructure is lacking, and power outages are frequent. This paper explores the rural connectivity problem in the context of remote patient monitoring and analyzes the feasibility of utilizing a delay tolerant network (DTN) architecture that leverages the social behaviors of rural community members to enable out-of-range monitoring of patients in rural communities without local transportation systems. The feasibility is characterized using delivery latency and delivery rate with the number of participants and the number of sources as variables. The architecture is evaluated for Owingsville, KY using U.S. Census Bureau, the National Cancer Institute's, and IPUMS ATUS sample data. The findings show that within a 24 hour window, there is an exponential relationship between the number of participants in the network and the delivery rate with a minimal delivery of 38.7%, a maximal delivery rate of a 100% and an overall average delivery rate of 89.8%.",

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booktitle = "TESCA 2019 - Proceedings of the 2019 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities, co-located with the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, ACM BuildSys 2019",

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Max-Onakpoya, E, Madamori, S & Baker, CE 2019, Utilizing opportunistic social networks for remote patient monitoring in rural areas. in TESCA 2019 - Proceedings of the 2019 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities, co-located with the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, ACM BuildSys 2019. TESCA 2019 - Proceedings of the 2019 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities, co-located with the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, ACM BuildSys 2019, pp. 46-49, 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities, TESCA 2019, co-located with the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, ACM BuildSys 2019, New York, United States, 11/13/19. https://doi.org/10.1145/3364544.3364831

Utilizing opportunistic social networks for remote patient monitoring in rural areas. / Max-Onakpoya, Esther; Madamori, Shina; Baker, Corey E.
TESCA 2019 - Proceedings of the 2019 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities, co-located with the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, ACM BuildSys 2019. 2019. p. 46-49 (TESCA 2019 - Proceedings of the 2019 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities, co-located with the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, ACM BuildSys 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Utilizing opportunistic social networks for remote patient monitoring in rural areas

AU - Max-Onakpoya, Esther

AU - Madamori, Shina

AU - Baker, Corey E.

PY - 2019/11/13

Y1 - 2019/11/13

N2 - The use of Internet connectivity for remote patient monitoring is often unsuitable for rural communities where Internet infrastructure is lacking, and power outages are frequent. This paper explores the rural connectivity problem in the context of remote patient monitoring and analyzes the feasibility of utilizing a delay tolerant network (DTN) architecture that leverages the social behaviors of rural community members to enable out-of-range monitoring of patients in rural communities without local transportation systems. The feasibility is characterized using delivery latency and delivery rate with the number of participants and the number of sources as variables. The architecture is evaluated for Owingsville, KY using U.S. Census Bureau, the National Cancer Institute's, and IPUMS ATUS sample data. The findings show that within a 24 hour window, there is an exponential relationship between the number of participants in the network and the delivery rate with a minimal delivery of 38.7%, a maximal delivery rate of a 100% and an overall average delivery rate of 89.8%.

AB - The use of Internet connectivity for remote patient monitoring is often unsuitable for rural communities where Internet infrastructure is lacking, and power outages are frequent. This paper explores the rural connectivity problem in the context of remote patient monitoring and analyzes the feasibility of utilizing a delay tolerant network (DTN) architecture that leverages the social behaviors of rural community members to enable out-of-range monitoring of patients in rural communities without local transportation systems. The feasibility is characterized using delivery latency and delivery rate with the number of participants and the number of sources as variables. The architecture is evaluated for Owingsville, KY using U.S. Census Bureau, the National Cancer Institute's, and IPUMS ATUS sample data. The findings show that within a 24 hour window, there is an exponential relationship between the number of participants in the network and the delivery rate with a minimal delivery of 38.7%, a maximal delivery rate of a 100% and an overall average delivery rate of 89.8%.

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KW - Mobile ad hoc networks

KW - Opportunistic communication

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M3 - Conference contribution

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Max-Onakpoya E, Madamori S, Baker CE. Utilizing opportunistic social networks for remote patient monitoring in rural areas. In TESCA 2019 - Proceedings of the 2019 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities, co-located with the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, ACM BuildSys 2019. 2019. p. 46-49. (TESCA 2019 - Proceedings of the 2019 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities, co-located with the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, ACM BuildSys 2019). doi: 10.1145/3364544.3364831

Utilizing opportunistic social networks for remote patient monitoring in rural areas

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this