TY - GEN
T1 - A middleware for managing the heterogeneity of data provining from IoT devices in ambient assisted living environments
AU - Cedillo, Priscila
AU - Riofrio, Xavier
AU - Prado, Daniela
AU - Orellana, Marcos
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/13
Y1 - 2020/10/13
N2 - Internet of Things (IoT) has been growing exponentially in the commercial market in recent years. It is also a fact that people hold one or more computing devices at home. Many of them have been developed to operate through internet connectivity with cloud computing technologies that result in the demand for fast, robust, and secure services. In most cases, the lack of these services makes difficult the transfer of data to fulfill the devices' purposes. Under these conditions, an intermediate layer or middleware is needed to process, filter, and send data through a more efficient alternative. This paper presents the adaptive solution of a middleware architecture as an intermediate layer between smart devices and cloud computing to enhance the management of the heterogeneity of data provining from IoT devices. The proposed middleware provides easy configuration, adaptability, and bearability for different environments. Finally, this solution has been implemented in the healthcare domain, in which IoT solutions are deployed into Ambient Assisted Living (AAL) environments.
AB - Internet of Things (IoT) has been growing exponentially in the commercial market in recent years. It is also a fact that people hold one or more computing devices at home. Many of them have been developed to operate through internet connectivity with cloud computing technologies that result in the demand for fast, robust, and secure services. In most cases, the lack of these services makes difficult the transfer of data to fulfill the devices' purposes. Under these conditions, an intermediate layer or middleware is needed to process, filter, and send data through a more efficient alternative. This paper presents the adaptive solution of a middleware architecture as an intermediate layer between smart devices and cloud computing to enhance the management of the heterogeneity of data provining from IoT devices. The proposed middleware provides easy configuration, adaptability, and bearability for different environments. Finally, this solution has been implemented in the healthcare domain, in which IoT solutions are deployed into Ambient Assisted Living (AAL) environments.
KW - Edge computing
KW - Fog computing
KW - Healthcare system
KW - Middleware
KW - Software architecture
UR - http://www.scielo.br/pdf/ac/v18n1/1678-8621-ac-18-01-0445.pdf
U2 - 10.1109/ANDESCON50619.2020.9272163
DO - 10.1109/ANDESCON50619.2020.9272163
M3 - Contribución a la conferencia
AN - SCOPUS:85098553838
T3 - 2020 IEEE ANDESCON, ANDESCON 2020
BT - 2020 IEEE ANDESCON, ANDESCON 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE ANDESCON, ANDESCON 2020
Y2 - 13 October 2020 through 16 October 2020
ER -