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Figure 1. Different approaches to control wireless interfaces in SDWMN

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1 Figure 1. Different approaches to control wireless interfaces in SDWMN
Figure 1. Different approaches to control wireless interfaces in SDWMN. On the left, extension of the OF protocol. On the right, custom control protocol for wireless interfaces. From: Software-Defined Wireless Mesh Networking: Current Status and Challenges Comput J. 2017;60(10): doi: /comjnl/bxx066 Comput J | © The British Computer Society All rights reserved. For permissions, please

2 Figure 2. Bootstrapping and out-of-band or in-band connection for the control channel in SDWMN. Three different types. At the top, additional wired control network. In the middle, usage of two separate wireless interfaces (physical segregation) or different SSIDs or virtual interfaces (virtual segregation). At the bottom, classical in-band connection. From: Software-Defined Wireless Mesh Networking: Current Status and Challenges Comput J. 2017;60(10): doi: /comjnl/bxx066 Comput J | © The British Computer Society All rights reserved. For permissions, please

3 Figure 4. The aspect of load-balancing in SDWMN
Figure 4. The aspect of load-balancing in SDWMN. To maximize the throughput for clients, two flows take different paths at the first possible hop. In this example, L1 is already saturated with flow 1 and therefore flow 2 is routed along an alternative (with an increased hop-count). From: Software-Defined Wireless Mesh Networking: Current Status and Challenges Comput J. 2017;60(10): doi: /comjnl/bxx066 Comput J | © The British Computer Society All rights reserved. For permissions, please

4 Figure 3. Benefits for a centralized MCS optimization in SDWMN: (1) Different flows may use different MCS depending on the path length. Flow 2 uses a 64-QAM to reduce the end-to-end PER. (2) Multi-hop links may have capacity or interference-related inter-dependencies among them. Using a 256-QAM is undesirable since there is no end-to-end throughput increase because of the second link which is bounded to a 64-QAM. From: Software-Defined Wireless Mesh Networking: Current Status and Challenges Comput J. 2017;60(10): doi: /comjnl/bxx066 Comput J | © The British Computer Society All rights reserved. For permissions, please

5 Figure 5. For an optimized end-to-end throughput devices should be distributed evenly (or even depending on their flows) to the access interfaces. In this example, the phone should be steered to the left access interface. From: Software-Defined Wireless Mesh Networking: Current Status and Challenges Comput J. 2017;60(10): doi: /comjnl/bxx066 Comput J | © The British Computer Society All rights reserved. For permissions, please


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