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

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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Bibliographic Details
Main Authors: Ziyan Yang, Yao Du, Chang Che, Wenyong Wang, Haibo Mei, Dongdai Zhou, Kun Yang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Internet of Things
emotional computing
mobile edge computing (MEC)
resources allocation
Online Access:https://ieeexplore.ieee.org/document/8844659/

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