Mininet-WiFi: Emulating software-defined wireless networks

Fontes, Ramon R.; Afzal, Samira; Brito, Samuel Henrique Bucke; Santos, Mateus Augusto Silva; Rothenberg, Christian Esteve

doi:10.1109/cnsm.2015.7367387

Cited by 311 publications

(145 citation statements)

References 15 publications

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“…The created custom configuration file may contain nodes (i.e., hosts and switches) and links 290 of the network. Especially with the use of simulators such as Mininet-WiFi [26] and NS3 2 , it is possible to include not only switches and hosts, but also OpenFlow-enabled access points. .…”

Section: N S E R T ( New R E Q U I R E M E N T ( $P2 New P R O P mentioning

confidence: 99%

Patterns for the design of secure and dependable software defined networks

2016

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In an interconnected world, cyber and physical networks face a number of challenges that need to be resolved. These challenges are mainly due to the nature and complexity of interconnected systems and networks and their ability to support heterogeneous physical and cyber components simultaneously. The construction of complex networks preserving security and dependability (S&D) properties is necessary to avoid system vulnerabilities at design or runtime level. In particular, with the deployment of Software Defined Networks (SDN), S&D weaknesses may occur in all the different layers of SDN architectures. In order to design SDN network architectures with respect to S&D, a model-based approach such as design patterns can be used adequately.In this work, we define executional patterns for designing networks able to guarantee S&D properties in legacy and SDN networks. To evaluate our defined pattern approach, we implement executable pattern instances, encoded in a rule-based reasoning system, able to design and verify wireless SDN networks with respect to availability and confidentiality. To complete this work, we propose and evaluate an implementation framework in which S&D patterns can be applied for the design and verification of SDN networks.

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Section: N S E R T ( New R E Q U I R E M E N T ( $P2 New P R O P mentioning

confidence: 99%

Patterns for the design of secure and dependable software defined networks

2016

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“…As expected, the results show that the data is transmitted by the two Wi-Fi interfaces of sta1 (sta1-wlan0 and sta1-wlan1) and the amount of data received by the sta1-wlan0 interface is less than sta1-wlan1 (around 1.97Mbps and 5Mbps, respectively), due to the different modes of operation (IEEE 802.11g and IEEE 802.11n) used in each interface. Following the configuration provided by the AP TP-Link TLWR740N 11 chosen for this experiment, theoretically, up to 54Mbps over 802.11g and up 11 12 The maximum data rate is calculated by taking into account the rate supported by TP-Link TLWR740N and Equation 3.…”

Section: B Multipath Tcpmentioning

confidence: 99%

“…Addressing the gaps in SDWN experimentation tools from an emulation standpoint, we propose Mininet-WiFi [11] as an emulator for SDWN that: (i) allows the execution of real code with no modification in either kernel or applications, (ii) is able to support best of breed open source technologies (e.g., OpenvSwitch, any existing OpenFlow controller), (iii) supports the Linux mac80211 framework that allows testing most of the IEEE 802.11 functionality leveraging user space tools (e.g., hostapd and wpa supplicant), among others. Mininet-WiFi is a fork of the container-based Mininet network emulator [12] extended to support WiFi by adding virtualized WiFi Stations (STAs) and Access Points (APs).…”

Section: Introductionmentioning

confidence: 99%

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

Fontes

Mahfoudi²,

Dabbous³

et al. 2017

The Computer Journal

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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 to 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 towards a virtual yet realistic emulation environment in support of SDWN research.

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“…Despite these limitations, tc has been successfully used for this purpose in other works, in particular [49], and is adequate to explore the basic concept of SCOR-based routing in WMNs.…”

Section: Experiments Scenariomentioning

confidence: 99%

“…In [49], the mac802.11/SoftMac device driver is used as a basis for the integration, providing a high level of fidelity at the MAC layer. The current shortcoming of this approach is the limited realism in modelling the physical layer effects such as link interference, signal attenuation, etc.…”

Section: Related Workmentioning

confidence: 99%

Towards Software Defined Wireless Mesh Networks

Pakzad¹

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Software Defined Networking (SDN) is a new approach to configure and manage computer networks, based on its core idea of separating the data plane from the control plane. Through this, SDN provides a higher level of abstraction and allows better and simpler programmability and management of networks, thereby enabling faster innovation. The benefits of SDN have clearly been demonstrated for wired networks, in particular for wide area and data centre networks. The goal of this research was to explore how the concepts of SDN can be applied to wireless networks, in particular Wireless Mesh Networks (WMNs). The focus of our research was on exploring the feasibility of SDN-based routing and load balancing of traffic in WMNs. For this, we leveraged key SDN features such as centralised view of the network state, fine grained and flow-based traffic forwarding, and abstraction. Working towards this goal, we have addressed a number of key research challenges. Firstly, we have designed and implemented a new topology discovery mechanism with greatly reduced overhead compared to the state-of-the-art approach. Topology discovery is an essential service in any Software Defined Network, but an efficient mechanism with low overhead is particularly important for typically resource constrained WMNs. Another critical component for SDN-based routing in WMNs is link monitoring, in particular link capacity monitoring. In contrast to wired networks, where the link capacity is typically known and constant, it can be highly dynamic in wireless networks. We have designed, implemented and evaluated a new, SDN-based link capacity estimation approach, based on the concept of packet pair/train probing. Building on our topology discovery and link capacity estimation methods, we have developed a new SDN-based routing framework for WMNs. For this, we have leveraged a new northbound interface called SCOR (Software-defined Constrained Optimal Routing) for QoS routing and Traffic Engineering (TE). Using the abstraction provided by a small number of high level SCOR routing primitives, we have demonstrated the feasibility, simplicity and efficiency of this approach to implement relatively complex routing problems in WMNs. Finally, we have also provided critical evaluations of new potential testbeds for the evaluation of SDN-based WMNs. We believe this is an important contribution in its own right, since experimental validation is a key research methodology in this context, and trust in the validity of experimental results is absolutely critical.

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Mininet-WiFi: Emulating software-defined wireless networks

Cited by 311 publications

References 15 publications

Patterns for the design of secure and dependable software defined networks

Patterns for the design of secure and dependable software defined networks

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

Towards Software Defined Wireless Mesh Networks

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