Joint Routing and Resource Allocation for Software Defined Mobile Networks
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Date
2019
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Open Access Color
Green Open Access
Yes
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Publicly Funded
No
Abstract
The need for software defined mobile networking (SDMN) increases to manage the complexity in communication networks for the fifth generation mobile networks and beyond, with increasing diverse demand on data traffic in wireless environments. The separation of the data and control planes offers flexibility in future networks with SDMN by taking into account to the wireless access problem in complex radio environments. In this paper, we propose an efficient joint routing and resource allocation algorithm to minimize the cost based on power consumption while satisfying both throughput and delay requirement of the flows under a given capacity of links in night time traffic through SDMN. The power consumption is determined based on the number of active OpenFlow switches and active ports in the network. In the proposed joint algorithm, we put the selected network components to sleep mode in order to reduce overall network power consumption. The performances of the proposed algorithm are illustrated under different throughput constraints in various network topologies and scenarios in night-time traffic. © 2019 IEEE.
Description
30th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2019 -- 8 September 2019 through 11 September 2019
Keywords
Power efficiency, Resource allocation, Routing, Software defined mobile network, Power efficiency, Network routing, Software defined mobile network, Resource allocation
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
N/A
Scopus Q
N/A

OpenCitations Citation Count
2
Source
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Volume
2019-September
Issue
Start Page
1
End Page
6
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Citations
CrossRef : 2
Scopus : 3
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Mendeley Readers : 6
SCOPUS™ Citations
2
checked on Apr 27, 2026
Web of Science™ Citations
2
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Page Views
739
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Downloads
355
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