Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10662/21064
Títulos: A self-sustainable opportunistic solution for emergency detection in ageing people living in rural áreas
Autores/as: Jesús Azabal, Manuel
Berrocal, Javier
Soares, Vasco N. G. J.
García Alonso, José Manuel
Galán Jiménez, Jaime
Palabras clave: Detección de emergencias;Evaluación del desempeño;Seguimiento de personas mayores aisladas;Redes de oportunidad;Sostenible;Algoritmo de enrutamiento;Zonas rurales;Dtn;Performance assessment;Isolated elderly people monitoring;Opportunistic networks;Sustainable;Routing algorithm;Rural areas
Fecha de publicación: 2023
Editor/a: Springer
Resumen: There are contexts where communication with TCP/IP protocol is not possible due to the lack of infrastructure or a reliable and continuous data transmission. In this cases, alternatives such as Opportunistic Networks (OPPNets) are valid. Such challenging conditions are common in rural areas and are a significant obstacle for the deployment of eHealth technologies for older adults. Considering this context, the present work introduces Interest-based System for Communication in Isolated Areas (ISCA), an OPPNet architecture for remote monitoring and emergency detection in ageing people who live alone. For this, the energetic requirements are considered, providing efficient and sustainable operation. The proposal makes use of a routing algorithm based on interests which enables asynchronous communication among entities. ISCA is evaluated over a realistic scenario and compared with similar state-of-the-art solutions. Experimental results show that ISCA notably improves the delivery probability with an enhancement of 52.25% in comparison to the second best alternative and provides a suitable average latency. Moreover, it also achieves better performance in terms of overhead and hops number compared to the other studied protocols.
URI: http://hdl.handle.net/10662/21064
ISSN: 1022-0038
DOI: 10.1007/s11276-023-03294-9
Colección:DISIT - Artículos

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