Please use this identifier to cite or link to this item: 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

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