Optimization of Time and Power Resources Allocation in Communication Systems Under the Industrial Internet of Things

In the Industrial Internet of Things (IIoT), it is an urgent task to reduce power loss and enhance energy efficient through reasonable allocation of resources. Inspired by time slot channel frequency hopping, this paper puts forward a dynamic allocation model for time and power resources. Based on t...

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Vydáno v:IEEE access Ročník 8; s. 140392 - 140398
Hlavní autoři: Yang, Ou, Wang, Yang
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Communication
Communications systems
dynamic resource allocation algorithm
Dynamic resource optimal allocation
Dynamic scheduling
Energy consumption
Energy dissipation
Energy loss
Frequency hopping
Heuristic algorithms
Industrial applications
Industrial Internet of Things
Job shop scheduling
Optimization
Power consumption
Resource allocation
Resource management
slot frequency hopping technology
ISSN:2169-3536, 2169-3536
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Shrnutí:In the Industrial Internet of Things (IIoT), it is an urgent task to reduce power loss and enhance energy efficient through reasonable allocation of resources. Inspired by time slot channel frequency hopping, this paper puts forward a dynamic allocation model for time and power resources. Based on the proposed model, a dynamic resource allocation algorithm was designed to reduce energy consumption. In addition, a power and time allocation algorithm was developed to maximize the energy efficiency of the system. The workflows of the two algorithms were introduced in details. Simulation results show that both dynamic resource allocation algorithm could reduce the energy loss of the communication system, while ensuring the stability of the data queue. The research findings help to promote the performance of communication systems in different scenarios of the IIoT.
Bibliografie:ObjectType-Article-1
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.3006736