2017
DOI: 10.1093/comjnl/bxx023
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How Far Can We Go? Towards Realistic Software-Defined Wireless Networking Experiments

Abstract: 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 … Show more

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Cited by 15 publications
(13 citation statements)
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References 27 publications
(36 reference statements)
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“…For example in [33] it was used for reliability enhancements. Details on Mininet and use cases are here [34].…”
Section: Architecture Modelling On Packet Tracermentioning
confidence: 99%
“…For example in [33] it was used for reliability enhancements. Details on Mininet and use cases are here [34].…”
Section: Architecture Modelling On Packet Tracermentioning
confidence: 99%
“…In the previous reference, the authors use an emulator called MiniNet to make the tests and build their architecture. Fontes et al [17] in their work, explain in that the objective is to emulate SDN / Open-Flow scenarios that allow high fidelity in the experiments that researchers need to execute to test SDN architectures, to recreate real networking environments. The strengths of the emulator and its limitations are exposed, and they even present three cases of study in which different tests were made.…”
Section: Fig 1 Sdn Architecturementioning
confidence: 99%
“…Reported use cases (such as those presented in [21,22] for Mininet, [23] for IMUNES (Integrated Multiprotocol Network Emulator/Simulator) or [24,25] for VNX (Virtual Networks over linuX) show the suitability of this type of tool for the study of operational networks, as long as certain accuracy loss in the results is acceptable [1,26]. Moreover, studies such as [11,12] expose how these tools can enhance the experimentation in emergent network environments.…”
Section: Containersmentioning
confidence: 99%