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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

How Far Can We Go? Towards Realistic Software-Defined Wireless Networking Experiments

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Fontes, Ramon dos Reis [1] ; Mahfoudi, Mohamed [2] ; Dabbous, Walid [2] ; Turletti, Thierry [2] ; Rothenberg, Christian [1]
Total Authors: 5
[1] Univ Estadual Campinas, Campinas, SP - Brazil
[2] Univ Cote Azur, INRIA, Nice - France
Total Affiliations: 2
Document type: Journal article
Source: COMPUTER JOURNAL; v. 60, n. 10, SI, p. 1458-1471, OCT 2017.
Web of Science Citations: 4

Software-Defined Wireless Networking (SDWN) is an emerging approach based on decoupling radio control functions from the radio data plane through programmatic interfaces. Despite diverse ongoing efforts to realize the vision of SDWN, many questions remain open from multiple perspectives such as means to rapid prototype and experiment candidate software solutions applicable to real-world deployments. To this end, emulation of SDWN has the potential to boost research and development efforts by re-using existing protocol and application stacks while mimicking the behavior of real wireless networks. In this article, we provide an in-depth discussion on that matter focusing on the Mininet-WiFi emulator design to fill a gap in the experimental platform space. We showcase the applicability of our emulator in an SDN wireless context by illustrating the support of a number of use cases aiming to address the question on how far we can go in realistic SDWN experiments, including comparisons with the results obtained in a wireless testbed. Finally, we discuss the ability to replay packet-level and radio signal traces captured in the real testbed toward a virtual yet realistic emulation environment in support of SDWN research. (AU)

FAPESP's process: 14/18482-4 - Feasibility and synergy between network functions virtualization and Software Defined Networking
Grantee:Christian Rodolfo Esteve Rothenberg
Support type: Regular Research Grants