Energy-efficiency fog computing resource allocation in cyber physical internet of things systems

Cyber physical internet of things systems (CPIoTs), taking advantages of cyber physical systems, have been considered as a promising technology to provide better interaction and interoperability among various machines. However, the development of CPIoTs suffers severely from big data. In this contex...

Full description

Saved in:
Bibliographic Details
Published in:IET communications Vol. 13; no. 13; pp. 2003 - 2011
Main Authors: Chen, Xincheng, Zhou, Yuchen, He, Bintao, Lv, Lu
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 13.08.2019
Subjects:
big data bottleneck
channel estimation
channel estimation error
communication resources
computation resources
computational complexity
cyber physical Internet of Things systems
cyber physical systems
Dinkelbach algorithm
energy conservation
fog computing‐based CPIoT
formulated optimisation problem
imperfect channel state information
integer programming
interaction
Internet of Things
interoperability
joint optimisation
Lagrange duality approach
mixed integer nonlinear problem
multiple fog nodes
nondeterministic polynomial hard
nonlinear programming
nonprobability form
open systems
overall system energy efficiency
probability distribution method
Research Article
resource allocation
resource allocation algorithm
statistical distributions
telecommunication power management
open systems
nonlinear programming
integer programming
cyber physical Internet of Things systems
overall system energy efficiency
statistical distributions
fog computing-based CPIoT
Dinkelbach algorithm
resource allocation
probability distribution method
cyber physical systems
nondeterministic polynomial hard
imperfect channel state information
resource allocation algorithm
formulated optimisation problem
computation resources
nonprobability form
big data bottleneck
mixed integer nonlinear problem
telecommunication power management
communication resources
interoperability
Internet of Things
channel estimation error
cyber-physical systems
channel estimation
Lagrange duality approach
energy conservation
interaction
joint optimisation
computational complexity
multiple fog nodes
ISSN:1751-8628, 1751-8636
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Cyber physical internet of things systems (CPIoTs), taking advantages of cyber physical systems, have been considered as a promising technology to provide better interaction and interoperability among various machines. However, the development of CPIoTs suffers severely from big data. In this context, fog computing is proposed to handle the big data bottleneck of CPIoTs. In this study, the authors focus on the joint optimisation of the communication resources and computation resources in fog computing-based CPIoTs to maximise the overall system energy efficiency, in which multiple fog nodes and end users are taken into consideration. Moreover, since the channel estimation error will become serious with the expanding scale, the imperfect channel state information is considered in this study. The formulated optimisation problem is a mixed integer non-linear problem which is indeed non-deterministic polynomial hard, hence a probability distribution method is proposed to reformulate the problem into a non-probability form, and the resource allocation algorithm based on Dinkelbach algorithm and Lagrange duality approach is adopted to tackle the problem efficiently. The simulation results confirm the effectiveness of the proposed scheme, especially when the scales are enormous.
ISSN:1751-8628
1751-8636
DOI:10.1049/iet-com.2019.0121