Exploring software defined networks for seamless handovers in vehicular networks

Silva, Miguel; Teixeira, Paula; Gomes, Christian; Dias, Duarte; Luís, Miguel; Sargento, Susana

doi:10.1016/j.vehcom.2021.100372

Cited by 9 publications

(10 citation statements)

References 32 publications

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“…In summary, the traditional SDN based handover in previous mentioned studies [20]- [25] shows notable challenges due to handover operation with the centralized SDN controller. These studies generate higher handover latency and higher packet losses as the handover controller signals take long delay time from vehicle at edge network to the centralized SDN controller at the core network.…”

Section: Introductionmentioning

confidence: 93%

“…Recently, Duo et al [24] employed SDN and MEC to cache the data before handover happens to restore normal connection faster. Silva et al [25] discovered two architectures based on RSUs are inside or outside of SDN environment. Although they claimed for more proactive detection improvement using SDN at RSU, but the control mechanism of the handover procedure still performed at centralized SDN controller.…”

Section: Introductionmentioning

confidence: 99%

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Flexible handover solution for vehicular ad-hoc networks based on software defined networking and fog computing

Murtadha

Mushgil

2023

IJECE

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<p>Vehicular ad-hoc networks (VANET) suffer from dynamic network environment and topological instability that caused by high mobility feature and varying vehicles density. Emerging 5G mobile technologies offer new opportunities to design improved VANET architecture for future intelligent transportation system. However, current software defined networking (SDN) based handover schemes face poor handover performance in VANET environment with notable issues in connection establishment and ongoing communication sessions. These poor connectivity and inflexibility challenges appear at high vehicles speed and high data rate services. Therefore, this paper proposes a flexible handover solution for VANET networks by integrating SDN and fog computing (FC) technologies. The SDN provides global knowledge, programmability and intelligence functions for simplified and efficient network operation and management. FC, on the other hand, alleviates the core network pressure by providing real time computation and transmission functionalities at edge network to maintain the demands of delay sensitive applications. The proposed solution overcomes frequent handover challenges and reduces the processing overhead at core network. Moreover, the simulation evaluation shows significant handover performance improvement of the proposed solution compared to current SDN based schemes, especially in terms of handover latency and packet loss ratio under various simulation environments.</p>

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Section: Introductionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Flexible handover solution for vehicular ad-hoc networks based on software defined networking and fog computing

Murtadha

Mushgil

2023

IJECE

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“…The technologies deployed are IEEE 802.1ac on 2.4 and 5 GHz, DASH7 on 433 and 868 MHz, Bluetooth (Low Energy), IEEE 802.15.4, IEEE 802. 15.4g and LoRa. With this platform, they were able to monitor air quality, traffic, parking spot occupancy, and manage smart parking signs.…”

Section: Related Workmentioning

confidence: 99%

“…In addition, network algorithms and machine learning techniques are also included to monitor and take action in the network. For instance, in the case of the mobility network, Internet connectivity and handovers in the mobile nodes are made possible by the algorithms running through the SDN controller [15].…”

Section: A Access and Edgementioning

confidence: 99%

“…As shown in Figure 5, the data platform can be divided in four main modules: the data access and authentication, data persistence, data real-time transport, and the IoT- agents. The platform was designed on top of the multitenant model of FIWARE's Orion Context Broker 15 , the core of the real-time transport module and the point of access of the ATCLL platform. This broker follows a publisher-subscriber model that allows the creation and update of entities and subscriptions, logically separated by the value present at the FIWARE-Service header of the requests, hence the multi-tenant model.…”

Section: Backhaul and Corementioning

confidence: 99%

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Aveiro Tech City Living Lab: A Communication, Sensing and Computing Platform for City Environments

Rito¹,

Almeida²,

Figueiredo³

et al. 2022

Preprint

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This article presents the deployment and experimentation architecture of the Aveiro Tech City Living Lab (ATCLL) in Aveiro, Portugal. This platform comprises a large number of Internet-of-things devices with communication, sensing and computing capabilities. The communication infrastructure, built on fiber and Millimeter-wave (mmWave) links, integrates a communication network with radio terminals (WiFi, ITS-G5, C-V2X, 5G and LoRa(WAN)), multiprotocol, spread throughout 44 connected points of access in the city. Additionally, public transportation has also been equipped with communication and sensing units. All these points combine and interconnect a set of sensors, such as mobility (Radars, Lidars, video cameras) and environmental sensors. Combining edge computing and cloud management to deploy the services and manage the platform, and a data platform to gather and process the data, the living lab supports a wide range of services and applications: Internet-of-things, intelligent transportation systems and assisted driving, environmental monitoring, emergency and safety, among others. This article describes the architecture, implementation and deployment to make the overall platform to work and integrate researchers and citizens. Moreover, it showcases some examples of the performance metrics achieved in the city infrastructure, the data that can be collected, visualized and used to build services and applications to the cities, and, finally, different use cases in the mobility and safety scenarios.

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Implementing Software-Defined Networks in Heterogeneous 5G Communications to Provide Security and Intelligent Resource Management

Ebadati E.,

Ebadati E.

2022

Artificial Intelligence in Data and Big Data Processing

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Exploring software defined networks for seamless handovers in vehicular networks

Cited by 9 publications

References 32 publications

Flexible handover solution for vehicular ad-hoc networks based on software defined networking and fog computing

Flexible handover solution for vehicular ad-hoc networks based on software defined networking and fog computing

Aveiro Tech City Living Lab: A Communication, Sensing and Computing Platform for City Environments

Implementing Software-Defined Networks in Heterogeneous 5G Communications to Provide Security and Intelligent Resource Management

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