Experimenting with an SDN-Based NDN Deployment over Wireless Mesh Networks

Kalafatidis, Sarantis; Demiroglou, Vassilis; Mamatas, Lefteris; Tsaoussidis, Vassilis

doi:10.1109/infocomwkshps54753.2022.9798224

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…Moreover, due to the use of low-order modulation and coding schemes in the broadcast regime by some wireless technologies, the provided channel capacity is lower than the one provided in a unicast communication mode. Paper [ 32 ] explores the integration of integrating Software-Defined Networking (SDN) with Named-Data Networking (NDN) in wireless mesh networks. The study explores the potential of SDN in enhancing the efficiency and scalability of NDN deployments.…”

Section: Background and Related Workmentioning

confidence: 99%

Provisioning of Fog Computing over Named-Data Networking in Dynamic Wireless Mesh Systems

Glazkov,

Moltchanov,

Srikanteswara

et al. 2024

Sensors

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Fog computing is today considered a promising candidate to improve the user experience in dynamic on-demand computing services. However, its ubiquitous application would require support for this service in wireless multi-hop mesh systems, where the use of conventional IP-based solutions is challenging. As a complementary solution, in this paper, we consider a Named-Data Networking (NDN) approach to enable fog computing services in autonomous dynamic mesh formations. In particular, we jointly implement two critical mechanisms required to extend the NDN-based fog computing architecture to wireless mesh systems. These are (i) dynamic face management systems and (ii) a learning-based route discovery strategy. The former makes it possible to solve NDN issues related to an inability to operate over a broadcast medium. Also, it improves the data-link layer reliability by enabling unicast communications between mesh nodes. The learning-based forwarding strategy, on the other hand, efficiently reduces the amount of overhead needed to find routes in the dynamically changing mesh networks. Our numerical results show that, for static wireless meshes, our proposal makes it possible to fully benefit from the computing resources sporadically available up to several hops away from the consumer. Additionally, we investigate the impacts of various traffic types and NDN caching capabilities, revealing that the latter result in much better system performance while the popularity of the compute service contributes to additional performance gains.

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Section: Background and Related Workmentioning

confidence: 99%

Provisioning of Fog Computing over Named-Data Networking in Dynamic Wireless Mesh Systems

Glazkov,

Moltchanov,

Srikanteswara

et al. 2024

Sensors

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Adaptive NDN, DTN and NoD Deployment in Smart-City Networks Using SDN

Demiroglou

Mamatas

Tsaoussidis

2023

2023 IEEE 20th Consumer Communications &Amp; Networking Conference (CCNC)

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Logically-Centralized SDN-Based NDN Strategies for Wireless Mesh Smart-City Networks

et al. 2022

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The Internet of Things (IoT) is a key technology for smart community networks, such as smart-city environments, and its evolution calls for stringent performance requirements (e.g., low delay) to support efficient communication among a wide range of objects, including people, sensors, vehicles, etc. At the same time, these ecosystems usually adopt wireless mesh technology to extend their communication range in large-scale IoT deployments. However, due to the high range of coverage, the smart-city WMNs may face different network challenges according to the network characteristic, for example, (i) areas that include a significant number of wireless nodes or (ii) areas with frequent dynamic changes such as link failures due to unstable topologies. Named-Data Networking (NDN) can enhance WMNs to meet such IoT requirements, thanks to the content naming scheme and in-network caching, but it necessitates adaptability to the challenging conditions of WMNs. In this work, we aim at efficient end-to-end NDN communication in terms of performance (i.e., delay), performing extended experimentation over a real WMN, evaluating and discussing the benefits provided by two SDN-based NDN strategies: (1) a dynamic SDN-based solution that integrates the NDN operation with the routing decisions of a WMN routing protocol; (2) a static one which based on SDN-based clustering and real WMN performance measurements. Our key contributions include (i) the implementation of two types of NDN path selection strategies; (ii) experimentation and data collection over the w-iLab.t Fed4FIRE+ testbed with real WMN conditions; (ii) real measurements released as open-data, related to the performance of the wireless links in terms of RSSI, delay, and packet loss among the wireless nodes of the corresponding testbed.

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Experimenting with an SDN-Based NDN Deployment over Wireless Mesh Networks

Cited by 3 publications

References 13 publications

Provisioning of Fog Computing over Named-Data Networking in Dynamic Wireless Mesh Systems

Provisioning of Fog Computing over Named-Data Networking in Dynamic Wireless Mesh Systems

Adaptive NDN, DTN and NoD Deployment in Smart-City Networks Using SDN

Logically-Centralized SDN-Based NDN Strategies for Wireless Mesh Smart-City Networks

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