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https://ruomo.lib.uom.gr/handle/7000/1775
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Πεδίο DC | Τιμή | Γλώσσα |
---|---|---|
dc.contributor.author | Mamatas, Lefteris | - |
dc.contributor.author | Demiroglou, Vassilis | - |
dc.contributor.author | Kalafatidis, Sarantis | - |
dc.contributor.author | Skaperas, Sotiris | - |
dc.contributor.author | Tsaoussidis, Vassilis | - |
dc.date.accessioned | 2023-11-24T11:21:42Z | - |
dc.date.available | 2023-11-24T11:21:42Z | - |
dc.date.issued | 2023 | - |
dc.identifier | 10.1109/MNET.002.2200347 | en_US |
dc.identifier.issn | 0890-8044 | en_US |
dc.identifier.issn | 1558-156X | en_US |
dc.identifier.uri | https://doi.org/10.1109/MNET.002.2200347 | en_US |
dc.identifier.uri | https://ruomo.lib.uom.gr/handle/7000/1775 | - |
dc.description.abstract | Wireless mesh networks, especially those typically utilized in smart city deployments for their low-cost and adaptable topologies, are characterized by challenging requirements for communication performance, reliability, as well as adaptability to dynamic network conditions. In this context, Named Data Networking (NDN) introduces a novel packet naming scheme and in-network caching for efficient data retrieval. Although NDN reliability can be damaged by prolonged delays and intermittent connectivity, this impact can be largely canceled by incorporating the Delay-Tolerant-Networking (DTN) paradigm. Hence, we argue that the challenging, dynamic network conditions of smart cities can be handled accordingly by a protocol-adaptive solution that deploys and configures on-demand the most appropriate protocol strategy per node. Software-Defined Networking (SDN) provides the missing features of intelligent centralized control and programmability. Here, we propose REWIRE: an SDN-based protocol-adaptive solution for smart city networking with low-delay communication and reliable interactions. We employ SDN control features, containerized non-IP protocol stacks, clustering and change point (CCP) mechanisms. We also conduct a preliminary investigation of our solution based on real experimentation over two novel smart city testbeds. | en_US |
dc.language.iso | en | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.source | IEEE Network | en_US |
dc.subject | FRASCATI::Engineering and technology::Other engineering and technologies | en_US |
dc.subject | FRASCATI::Natural sciences::Computer and information sciences | en_US |
dc.subject.other | Wireless communication | en_US |
dc.subject.other | Protocols | en_US |
dc.subject.other | Smart cities | en_US |
dc.subject.other | Network topology | en_US |
dc.subject.other | Wireless mesh networks | en_US |
dc.subject.other | Topology | en_US |
dc.subject.other | Delays | en_US |
dc.title | Protocol-Adaptive Strategies for Wireless Mesh Smart City Networks | en_US |
dc.type | Article | en_US |
dc.contributor.department | Τμήμα Εφαρμοσμένης Πληροφορικής | en_US |
local.identifier.volume | 37 | en_US |
local.identifier.issue | 2 | en_US |
local.identifier.firstpage | 136 | en_US |
local.identifier.lastpage | 143 | en_US |
Εμφανίζεται στις Συλλογές: | Τμήμα Εφαρμοσμένης Πληροφορικής |
Αρχεία σε αυτό το Τεκμήριο:
Αρχείο | Περιγραφή | Μέγεθος | Μορφότυπος | |
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ieee_network_preprint-2.pdf | 1,16 MB | Adobe PDF | Προβολή/Ανοιγμα |
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