Model networks for Internet of Things and SDN

Kirichek, Ruslan; Vladyko, Andrei; Захаров, М. А.; Koucheryavy, Andrey

doi:10.1109/icact.2016.7423279

Cited by 20 publications

(13 citation statements)

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“…Future work includes conducting experiments on a model network to verify the model and analyze the network characteristics, as well as extending the functions of traffic management by using the AR technology [13,14,15].…”

Section: Discussionmentioning

confidence: 99%

The Use of UAVs, SDN, and Augmented Reality for VANET Applications

Makolkina¹,

Paramonov²,

Vladyko³

et al. 2018

dtcse

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Abstract. Vehicle ad hoc networks (VANETs) enable wireless ad hoc communications for performing efficient driver assistance and car safety. However, pure VANETs may be not sufficient to address all modern challenges. The software-defined networking (SDN) concept with separate planes for data forwarding and control can effectively supplement traditional VANETs. In this paper, we propose a model for traffic light control and coordination along the route of emergency vehicles (fire, police, and ambulance), in which an unmanned aerial vehicle (UAV) acts as an SDN controller. This model can also incorporate the use of augmented reality (AR) to mitigate the risks and distortion introduced by the emergency vehicles.

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Section: Discussionmentioning

confidence: 99%

The Use of UAVs, SDN, and Augmented Reality for VANET Applications

Makolkina¹,

Paramonov²,

Vladyko³

et al. 2018

dtcse

Self Cite

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“…A considerable amount of works on heterogenous or hybrid networks for IoT can be found in the literature. In [14], Kirichek et al proposed a heterogeneous architecture, but the interconnection between different technologies or the network backbone was subject to a pre-existing coverage area. In [15], Viacheslav et al also proposed a heterogeneous IoT gateway computer appliance that provided interaction between different technologies and IP or non-IP networks.…”

Section: Related Workmentioning

confidence: 99%

Hybrid RF/VLC Network Architecture for the Internet of Things

Delgado-Rajo

Melian-Segura

Guerra

et al. 2020

Sensors

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In recent years, there has been a remarkable advance in monitoring technologies in many environments, be they urban or rural. These technologies, included in the Internet of Things (IoT) domain, allow remote control and acquisition of data from sensors for their subsequence analysis. All these systems are based on the interaction between sensors and actuators. To achieve this goal, it is necessary to provide a very high level of connectivity between the devices, especially as far as wireless systems are concerned. In this sense, there is a great variety of standards in the market of communication networks oriented to this end. One of the biggest challenges today is to allow inter-operability between these different technologies in order to homogenize this field. In addition to this, it is intended to introduce new communication techniques that can provide certain additional advantages to those already existing. The main idea is the creation of a cellular network where radiofrequency and optical technologies coexist, and whose link with the rest of the world is through long-range and low-consumption wireless technologies. The center of each cell, that is the lighting system, can be powered using solar panels, as can the existing systems in the market. The objective is that these panels are capable of providing the necessary energy to the rest of the necessary systems.

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“…The SDN controller is able to configure and manage all deployed OF switches via a proper interface, i.e., any supported version of OF protocol [38]. The SDN controller employs a clustering algorithm introduced in Reference [39] so that each Fog node or a group of Fog nodes are associated with a distributed SDN controller. Distributed SDN controllers deploy packet migration function to provide security over the databases and work against saturation attacks [36].…”

Section: Sdn Operation and Integrationmentioning

confidence: 99%

Secure and Reliable IoT Networks Using Fog Computing with Software-Defined Networking and Blockchain

Muthanna

Ateya

Khakimov

et al. 2019

JSAN

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120

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Designing Internet of Things (IoT) applications faces many challenges including security, massive traffic, high availability, high reliability and energy constraints. Recent distributed computing paradigms, such as Fog and multi-access edge computing (MEC), software-defined networking (SDN), network virtualization and blockchain can be exploited in IoT networks, either combined or individually, to overcome the aforementioned challenges while maintaining system performance. In this paper, we present a framework for IoT that employs an edge computing layer of Fog nodes controlled and managed by an SDN network to achieve high reliability and availability for latency-sensitive IoT applications. The SDN network is equipped with distributed controllers and distributed resource constrained OpenFlow switches. Blockchain is used to ensure decentralization in a trustful manner. Additionally, a data offloading algorithm is developed to allocate various processing and computing tasks to the OpenFlow switches based on their current workload. Moreover, a traffic model is proposed to model and analyze the traffic indifferent parts of the network. The proposed algorithm is evaluated in simulation and in a testbed. Experimental results show that the proposed framework achieves higher efficiency in terms of latency and resource utilization.

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Model networks for Internet of Things and SDN

Cited by 20 publications

References 0 publications

The Use of UAVs, SDN, and Augmented Reality for VANET Applications

The Use of UAVs, SDN, and Augmented Reality for VANET Applications

Hybrid RF/VLC Network Architecture for the Internet of Things

Secure and Reliable IoT Networks Using Fog Computing with Software-Defined Networking and Blockchain

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