Experiences and Challenges in Deploying OpenFlow over Real Wireless Mesh Networks

Chung, Jaewon; González, Grace; Armuelles, Iván; Robles, Tomás; Morales, Augusto

doi:10.1109/tla.2013.6568839

Cited by 17 publications

(9 citation statements)

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“…The incorporation of SDN in WMNs has also facilitated experimentation aimed at benchmarking scalability of WMN solutions as well as understanding trade-offs between in-band and out-of-band communication overhead between wireless nodes and the SDN controller [150][151][152][153]. Dimogerontakis et al [150] proposed an SDN based extension to Community-lab, a wireless community networks test bed, allowing researchers to experiment and manage L2 topology, a feature not available in the original testing platform.…”

Section: Wireless Mesh Networkmentioning

confidence: 99%

“…Using SDN controller to manage traffic in WMNs also requires minimizing the control channel overhead between individual nodes and the control plane to optimize wireless spectrum usage, a limited resource. Deployed solutions, therefore, need to consider the pros and cons of having in-band or out-of-band communication for controller to device (wireless node) traffic [152,153]. The design choices are highly dependent on operational requirements.…”

Section: Wireless Mesh Networkmentioning

confidence: 99%

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State of the Art and Recent Research Advances in Software Defined Networking

Bakhshi

2017

Wireless Communications and Mobile Computing

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Emerging network services and subsequent growth in the networking infrastructure have gained tremendous momentum in recent years. Application performance requiring rapid real-time network provisioning, optimized traffic management, and virtualization of shared resources has induced the conceptualization and adoption of new networking models. Software defined networking (SDN), one of the predominant and relatively new networking paradigms, seeks to simplify network management by decoupling network control logic from the underlying hardware and introduces real-time network programmability enabling innovation. The present work reviews the state of the art in software defined networking providing a historical perspective on complementary technologies in network programmability and the inherent shortcomings which paved the way for SDN. The SDN architecture is discussed along with popular protocols, platforms, and existing simulation and debugging solutions. Furthermore, a detailed analysis is presented around recent SDN development and deployment avenues ranging from mobile communications and data centers to campus networks and residential environments. The review concludes by highlighting implementation challenges and subsequent research directions being pursued in academia and industry to address issues related to application performance, control plane scalability and design, security, and interdomain connectivity in the context of SDN.

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Section: Wireless Mesh Networkmentioning

confidence: 99%

Section: Wireless Mesh Networkmentioning

confidence: 99%

State of the Art and Recent Research Advances in Software Defined Networking

Bakhshi

2017

Wireless Communications and Mobile Computing

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“…A significant amount of publications do not include the wireless interface configuration in their SDWMN core architecture. Either no details about wireless configuration are provided or a static configuration is conducted and SDN principles run on top of it [36]. If all wireless interfaces are set to the same static parameters in an ad hoc mode, this leads to a maximum connectivity among nodes.…”

Section: Related Workmentioning

confidence: 99%

Software-Defined Wireless Mesh Networking: Current Status and Challenges

Rademacher¹,

Jonas

Siebertz

et al. 2017

The Computer Journal

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The combination of Software-Defined Networking (SDN) and Wireless Mesh Network (WMN) is challenging due to the different natures of both concepts. SDN describes networks with homogeneous, static and centralized controlled topologies. In contrast, a WMN is characterized by a dynamic and distributed network control, and adds new challenges with respect to time-critical operation. However, SDN and WMN are both associated with decreasing the operational costs for communication networks which is especially beneficial for internet provisioning in rural areas. This work surveys the current status for Software-Defined Wireless Mesh Networking. Besides a general overview in the domain of wireless SDN, this work focuses especially on different identified aspects: representing and controlling wireless interfaces, control-plane connection and topology discovery, modulation and coding, routing and load-balancing and client handling. A complete overview of surveyed solutions, open issues and new research directions is provided with regard to each aspect.

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“…Chung et al [10] have shown both out-of-band and and inband deployment experiences. In the out-of-band deployment, they deploy a substitutive wired network for control messages, which would be difficult to apply in practice because additional infrastructure is required.…”

Section: The State Of the Art Of Applying Sdn To Wmnsmentioning

confidence: 99%

“…The bandwidth capacity of each subband is fixed to 10 Mb/s, and d = 3. The control and data traffic rates are generated randomly within the ranges of [1,10] and [1,15] Mb/s, respectively. Figure 5a shows the total throughput of the three algorithms.…”

Section: Performance Evaluationmentioning

confidence: 99%

Software-defined wireless mesh networks: architecture and traffic orchestration

Huang

Guo

et al. 2015

IEEE Network

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ypically, the backbone of a wireless mesh network (WMN) is made up of dedicated wireless nodes called mesh routers (MRs), which are configured in an ad hoc mode and use omnidirectional antennas, with one or multiple wireless radio interfaces based on IEEE 802.11 technologies. These MRs can be freely organized into any network topology, and communicate with each other using protocols such as Optimized Link State Routing (OLSR) [1] and Better Approach to Mobile Ad Hoc Networking (BATMAN) [2]. However, traditional WMNs are difficult to manage and upgrade because configurations are made manually and are error-prone. It normally takes weeks or even months to provide new services for service activation, test, and assurance. Furthermore, mesh routers work in a self-organizing manner without a global view, leading to poor network resource allocation and low performance, especially in largescale networks.Software defined networking (SDN) is a promising network paradigm that significantly simplifies network management [3]. By decoupling control plane and data plane, SDN enables flexible control and dynamic resource configuration with a global view of the entire network. In this way, network policies (e.g., traffic load balancing, access control, and fault-tolerance) can be easily realized, and new services be rapidly and agilely deployed.In this article, we propose a novel architecture of softwaredefined wireless mesh networks (SD-WMNs) providing Internet services. A logically centralized controller maintains all of the network information, and conducts global resource allocation. Software-defined MRs make data forwarding according to rules specified by the controller. In particular, we extend OpenFlow [3] to implement complicated interactions between the controller and software-defined MRs in wireless networks.We then summarize several critical challenges in SD-WMNs, such as spectrum isolation of control and data planes, status monitoring and collection, and congestion control.Although the SD-WMN approach is promising due to its global network knowledge and centralized management, frequent message exchange between controller and softwaredefined MRs can lead to a high traffic load that would aggravate transmission congestion in wireless networks. In order to improve resource utilization, we examine the traffic characteristics in SD-WMNs, and propose three novel spectrum allocation and traffic scheduling algorithms, that is, Fixed-Bands Non-Sharing (FB-NS), Non-Fixed-Bands NonSharing (NFB-NS), and Non-Fixed-Bands Sharing (NFB-S) algorithms, to exploit frequency and spatial multiplexing. Finally, the performance of the proposed three algorithms are evaluated by extensive simulation. Preliminaries and the State of the Art SDN and OpenFlowSDN has been envisioned as the next generation network paradigm [3] that decouples the control plane and data plane such that complicated network logic is no longer installed in switches or routers, but at a logically centralized controller. Each switch at the data plane conducts data forward...

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Experiences and Challenges in Deploying OpenFlow over Real Wireless Mesh Networks

Cited by 17 publications

References 0 publications

State of the Art and Recent Research Advances in Software Defined Networking

State of the Art and Recent Research Advances in Software Defined Networking

Software-Defined Wireless Mesh Networking: Current Status and Challenges

Software-defined wireless mesh networks: architecture and traffic orchestration

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