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...

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Veröffentlicht in:	IET communications Jg. 13; H. 13; S. 2003 - 2011
Hauptverfasser:	Chen, Xincheng, Zhou, Yuchen, He, Bintao, Lv, Lu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 13.08.2019
Schlagworte:	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
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Zusammenfassung:	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