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Comparison of Collaborative and Cooperative Schemes in Sensor Networks for Non-Invasive Monitoring of People at Home

Author

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  • Carolina Del-Valle-Soto

    (Facultad de Ingeniería, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, Jalisco, Mexico
    These authors contributed equally to this work.)

  • Leonardo J. Valdivia

    (Facultad de Ingeniería, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, Jalisco, Mexico
    These authors contributed equally to this work.)

  • Juan Carlos López-Pimentel

    (Facultad de Ingeniería, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, Jalisco, Mexico)

  • Paolo Visconti

    (Department of Innovation Engineering, University of Salento, 73100 Lecce, Italy)

Abstract

This paper looks at wireless sensor networks (WSNs) in healthcare, where they can monitor patients remotely. WSNs are considered one of the most promising technologies due to their flexibility and autonomy in communication. However, routing protocols in WSNs must be energy-efficient, with a minimal quality of service, so as not to compromise patient care. The main objective of this work is to compare two work schemes in the routing protocol algorithm in WSNs (cooperative and collaborative) in a home environment for monitoring the conditions of the elderly. The study aims to optimize the performance of the algorithm and the ease of use for people while analyzing the impact of the sensor network on the analysis of vital signs daily using medical equipment. We found relationships between vital sign metrics that have a more significant impact in the presence of a monitoring system. Finally, we conduct a performance analysis of both schemes proposed for the home tracking application and study their usability from the user’s point of view.

Suggested Citation

  • Carolina Del-Valle-Soto & Leonardo J. Valdivia & Juan Carlos López-Pimentel & Paolo Visconti, 2023. "Comparison of Collaborative and Cooperative Schemes in Sensor Networks for Non-Invasive Monitoring of People at Home," IJERPH, MDPI, vol. 20(7), pages 1-22, March.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:7:p:5268-:d:1108115
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    References listed on IDEAS

    as
    1. Vojko Matko & Barbara Brezovec, 2018. "Improved Data Center Energy Efficiency and Availability with Multilayer Node Event Processing," Energies, MDPI, vol. 11(9), pages 1-17, September.
    2. Carolina Del-Valle-Soto & Juan Arturo Nolazco-Flores & Jose Alberto Del Puerto-Flores & Ramiro Velázquez & Leonardo J. Valdivia & Julio Rosas-Caro & Paolo Visconti, 2022. "Statistical Study of User Perception of Smart Homes during Vital Signal Monitoring with an Energy-Saving Algorithm," IJERPH, MDPI, vol. 19(16), pages 1-29, August.
    3. Amani Aldahiri & Bashair Alrashed & Walayat Hussain, 2021. "Trends in Using IoT with Machine Learning in Health Prediction System," Forecasting, MDPI, vol. 3(1), pages 1-26, March.
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    Cited by:

    1. Filippos Pelekoudas-Oikonomou & José C. Ribeiro & Georgios Mantas & Georgia Sakellari & Jonathan Gonzalez, 2023. "Prototyping a Hyperledger Fabric-Based Security Architecture for IoMT-Based Health Monitoring Systems," Future Internet, MDPI, vol. 15(9), pages 1-22, September.
    2. Carolina Del-Valle-Soto & Ramon A. Briseño & Leonardo J. Valdivia & Ramiro Velázquez & Juan Arturo Nolazco-Flores, 2023. "Non-Invasive Monitoring of Vital Signs for the Elderly Using Low-Cost Wireless Sensor Networks: Exploring the Impact on Sleep and Home Security," Future Internet, MDPI, vol. 15(9), pages 1-31, August.

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