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https://ruomo.lib.uom.gr/handle/7000/1403
Title: | Experimenting with an SDN-Based NDN Deployment over Wireless Mesh Networks |
Authors: | Kalafatidis, Sarantis Demiroglou, Vassilis Mamatas, Lefteris Tsaoussidis, Vassilis |
Type: | Conference Paper |
Subjects: | FRASCATI::Engineering and technology FRASCATI::Natural sciences::Computer and information sciences |
Keywords: | Software-Defined Networks Information-Centric Networking Named Data Networking Wireless Mesh Networks Internet of Things telecommunication network topology computer network reliability telecommunication network routing |
Issue Date: | 2022 |
First Page: | 1 |
Last Page: | 6 |
Volume Title: | IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) |
Abstract: | Internet of Things (IoT) evolution calls for stringent communication demands, including low delay and reliability. At the same time, wireless mesh technology is used to extend the communication range of IoT deployments, in a multi-hop manner. However, Wireless Mesh Networks (WMNs) are facing link failures due to unstable topologies, resulting in unsatisfied IoT requirements. Named-Data Networking (NDN) can enhance WMNs to meet such IoT requirements, thanks to the content naming scheme and in-network caching, but necessitates adaptability to the challenging conditions of WMNs.In this work, we argue that Software-Defined Networking (SDN) is an ideal solution to fill this gap and introduce an integrated SDN-NDN deployment over WMNs involving: (i) global view of the network in real-time; (ii) centralized decision making; and (iii) dynamic NDN adaptation to network changes. The proposed system is deployed and evaluated over the wiLab.1 Fed4FIRE+ test-bed. The proof-of-concept results validate that the centralized control of SDN effectively supports the NDN operation in unstable topologies with frequent dynamic changes, such as the WMNs. |
URI: | https://doi.org/10.1109/INFOCOMWKSHPS54753.2022.9798224 https://ruomo.lib.uom.gr/handle/7000/1403 |
ISBN: | 978-1-6654-0926-1 |
Other Identifiers: | 10.1109/INFOCOMWKSHPS54753.2022.9798224 |
Appears in Collections: | Department of Applied Informatics |
Files in This Item:
File | Description | Size | Format | |
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cnert-infocom-2022.pdf | 677,25 kB | Adobe PDF | View/Open |
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