Please use this identifier to cite or link to this item:
https://ruomo.lib.uom.gr/handle/7000/1775
Title: | Protocol-Adaptive Strategies for Wireless Mesh Smart City Networks |
Authors: | Mamatas, Lefteris Demiroglou, Vassilis Kalafatidis, Sarantis Skaperas, Sotiris Tsaoussidis, Vassilis |
Type: | Article |
Subjects: | FRASCATI::Engineering and technology::Other engineering and technologies FRASCATI::Natural sciences::Computer and information sciences |
Keywords: | Wireless communication Protocols Smart cities Network topology Wireless mesh networks Topology Delays |
Issue Date: | 2023 |
Source: | IEEE Network |
Volume: | 37 |
Issue: | 2 |
First Page: | 136 |
Last Page: | 143 |
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. |
URI: | https://doi.org/10.1109/MNET.002.2200347 https://ruomo.lib.uom.gr/handle/7000/1775 |
ISSN: | 0890-8044 1558-156X |
Other Identifiers: | 10.1109/MNET.002.2200347 |
Appears in Collections: | Department of Applied Informatics |
Files in This Item:
File | Description | Size | Format | |
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ieee_network_preprint-2.pdf | 1,16 MB | Adobe PDF | View/Open |
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