Energy-Efficient Joint Resource Allocation Algorithms for MEC-Enabled Emotional Computing in Urban Communities

This paper considers a mobile edge computing (MEC) system, where the MEC server first collects data from emotion sensors and then computes the emotion of each user. We give the formula of the emotional prediction accuracy. In order to improve the energy efficiency of the system, we propose resources...

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Detalles Bibliográficos

Autores principales:	Ziyan Yang, Yao Du, Chang Che, Wenyong Wang, Haibo Mei, Dongdai Zhou, Kun Yang
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2019-01-01
Colección:	IEEE Access
Materias:	Internet of Things emotional computing mobile edge computing (MEC) resources allocation
Acceso en línea:	https://ieeexplore.ieee.org/document/8844659/
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