Edge Computing Resource Allocation for Dynamic Networks: The DRUID-NET Vision and Perspective

Edge Computing Resource Allocation for Dynamic Networks: The DRUID-NET Vision and Perspective

The potential offered by the abundance of sensors, actuators, and communications in the Internet of Things (IoT) era is hindered by the limited computational capacity of local nodes. Several key challenges should be addressed to optimally and jointly exploit the network, computing, and storage resou...

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Bibliographic Details
Main Authors: Dimitrios Dechouniotis, Nikolaos Athanasopoulos, Aris Leivadeas, Nathalie Mitton, Raphaël M. Jungers, Symeon Papavassiliou
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sensors
Subjects:
edge computing
internet of things
mobile robots
resource allocation
control co-design
Online Access:https://www.mdpi.com/1424-8220/20/8/2191

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