MC-VAP: A multi-connection virtual access point for high performance software-defined wireless networks

Xu, C; Jin, W; Wang, X; Zhao, G; Yu, S

MC-VAP: A multi-connection virtual access point for high performance software-defined wireless networks

Xu, C Jin, W Wang, X Zhao, G Yu, S

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Publication Type:: Journal Article
Citation:: Journal of Network and Computer Applications, 2018, 122 pp. 88 - 98
Issue Date:: 2018-11-15

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Field	Value	Language
dc.contributor.author	Xu, C	en_US
dc.contributor.author	Jin, W	en_US
dc.contributor.author	Wang, X	en_US
dc.contributor.author	Zhao, G	en_US
dc.contributor.author	Yu, S https://orcid.org/0000-0003-4485-6743	en_US
dc.date.issued	2018-11-15	en_US
dc.identifier.citation	Journal of Network and Computer Applications, 2018, 122 pp. 88 - 98	en_US
dc.identifier.issn	1084-8045	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132151
dc.description.abstract	© 2018 Elsevier Ltd Aiming to exploit the power of multiple accesses from ubiquitous wireless networks, researchers employed multiple virtualized interfaces connecting to multiple APs for mobile users. However, these schemes require expensive modifications and additional cost on mobile device, which are hard to be implemented. Complementarily, in this paper, we propose a multi-connection virtual access point (MC-VAP) to virtualize and manipulate physical APs to provide multi-path transmission for a user while avoiding any modifications on the user side. As a result, the independent flows from an application can be dispatched to multiple paths separately and transmitted on multiple APs simultaneously, which can improve the throughput obviously. In order to maximize each application's throughput, the flow assignment is formulated as a mixed integer non-linear programming (MINLP) problem. In particular, a low-complexity heuristic algorithm, namely, narrowing search set with cutting-off solution space (NS-CoS) algorithm, is presented to solve the MINLP problem through relaxing it into simple LP problems. Moreover, we implement a prototype of MC-VAP, and the extensive real-world experiments demonstrate that MC-VAP can realize seamless handover and provide faster yet efficient solutions of flow assignment in contrast to the optimal method to achieve multifold throughput improvement for applications over regular WiFi.	en_US
dc.relation.ispartof	Journal of Network and Computer Applications	en_US
dc.relation.isbasedon	10.1016/j.jnca.2018.08.009	en_US
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	MC-VAP: A multi-connection virtual access point for high performance software-defined wireless networks	en_US
dc.type	Journal Article
utslib.citation.volume	122	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	1005 Communications Technologies	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	122	en_US

Abstract:

© 2018 Elsevier Ltd Aiming to exploit the power of multiple accesses from ubiquitous wireless networks, researchers employed multiple virtualized interfaces connecting to multiple APs for mobile users. However, these schemes require expensive modifications and additional cost on mobile device, which are hard to be implemented. Complementarily, in this paper, we propose a multi-connection virtual access point (MC-VAP) to virtualize and manipulate physical APs to provide multi-path transmission for a user while avoiding any modifications on the user side. As a result, the independent flows from an application can be dispatched to multiple paths separately and transmitted on multiple APs simultaneously, which can improve the throughput obviously. In order to maximize each application's throughput, the flow assignment is formulated as a mixed integer non-linear programming (MINLP) problem. In particular, a low-complexity heuristic algorithm, namely, narrowing search set with cutting-off solution space (NS-CoS) algorithm, is presented to solve the MINLP problem through relaxing it into simple LP problems. Moreover, we implement a prototype of MC-VAP, and the extensive real-world experiments demonstrate that MC-VAP can realize seamless handover and provide faster yet efficient solutions of flow assignment in contrast to the optimal method to achieve multifold throughput improvement for applications over regular WiFi.

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http://hdl.handle.net/10453/132151