SDN Controller Placement and Switch Assignment for Low Power IoT

Choumas, Kostas; Giatsios, Dimitris; Flegkas, Paris; Korakis, Thanasis

doi:10.3390/electronics9020325

Cited by 7 publications

(9 citation statements)

References 13 publications

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“…SDN controller was acting as a centralized manager, which provided security to the whole network. In [14], a set of heuristic algorithms were presented to minimize control traffic in SD-IoT network. These two algorithms were fast and simple heuristic algorithm which even performs better in time complexity analysis.…”

Section: Related Workmentioning

confidence: 99%

Controller Placement in Software Defined Internet of Things Using Optimization Algorithm

Hans¹,

Ghosh²,

Kataria³

et al. 2022

Computers, Materials &Amp; Continua

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The current and future status of the internet is represented by the upcoming Internet of Things (IoT). The internet can connect the huge amount of data, which contains lot of processing operations and efforts to transfer the pieces of information. The emerging IoT technology in which the smart ecosystem is enabled by the physical object fixed with software electronics, sensors and network connectivity. Nowadays, there are two trending technologies that take the platform i.e., Software Defined Network (SDN) and IoT (SD-IoT). The main aim of the IoT network is to connect and organize different objects with the internet, which is managed with the control panel and data panel in the SD network. The main issue and the challenging factors in this network are the increase in the delay and latency problem between the controllers. It is more significant for wide area networks, because of the large packet propagation latency and the controller placement problem is more important in every network. In the proposed work, IoT is implementing with adaptive fuzzy controller placement using the enhanced sunflower optimization (ESFO) algorithm and Pareto Optimal Controller placement tool (POCO) for the placement problem of the controller. In order to prove the efficiency of the proposed system, it is compared with other existing methods like PASIN, hybrid SD and PSO in terms of load balance, reduced number of controllers and average latency and delay. With 2 controllers, the proposed method obtains 400 miles as average latency, which is 22.2% smaller than PSO, 76.9% lesser than hybrid SD and 91.89% lesser than PASIN.

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Section: Related Workmentioning

confidence: 99%

Controller Placement in Software Defined Internet of Things Using Optimization Algorithm

Hans¹,

Ghosh²,

Kataria³

et al. 2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…A novel SDN framework based WSN infrastructure are empowered to cooperate effortlessly with cloud based environments in [16]. A simulation introduced in [17] for optimization infrequent and power consumption regarding lowest control traffic.…”

Section: Sdn For Wireless Sensor Based Iot Devicesmentioning

confidence: 99%

SDN for IoT Environment: A Survey and Research Challenges

Manguri

Omer

2022

ITM Web Conf.

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Recently, it has emerged that both Internet of Things (IoT), and Software Defined Network (SDN) are becoming popular technologies. The main goal of IoT is to link electronic devices via the internet, meanwhile SDN facilitates network arrangement for management of a network by distinguishing the control layer and the data layer from each other. The number of electronic devices over the internet is increasing constantly, therefore it is a complicated process to manage and control especially over the huge distributed network. IoT network can be reasonably flexible and programmable through The SDN without introducing any trouble to the previously implemented network infrastructure. This paper reviews various IoT domains and applications such as cellular network, wireless Sensor, IoT management, security and smart city framework and common IoT SDN solutions. Moreover, The IoT and SDN notion has been explored critically, with assessing the current contributions in the research field. Lastly, analyzing current available solutions for SDN-based IoT implementations comparatively helps easily understanding the emerging trends view.

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“…The result proved a saving of 30% was achievable and that the QoS was improved compared to the approach in [4]. Traffic-aware energy approaches for cloud computing infrastructure are introduced in [24], where two components are suggested: (1) The Data Manager (DM) to control the states of switches and to detect input traffic; (2) Power Manager (PM) to control the operating system modes of switches . The results reveal that all switches save up to 30-35% on average.…”

Section: Related Workmentioning

confidence: 99%

“…In recent years, energy consumption has become an important issue in a range of technology sectors such as Wireless Sensor Networks (WSN), Mobile Crowd Sensing (MSC), Internet of things (IoT) and Data Center Networks (DCN) [1][2][3]. Data centers aim to provide reliable and scalable computing infrastructure for massive Internet services [4].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Adaptive Routing Framework for Efficient Power Consumption in Software-Defined Datacenter Networks

et al. 2021

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Data Center Networks (DCNs) form the backbone of many Internet applications and services that have become necessary in daily life. Energy consumption causes both economic and environmental issues. It is reported that 10% of global energy consumption is due to ICT and network usage. Computer networking equipment is designed to accommodate network traffic; however, the level of use of the equipment is not necessarily proportional to the power consumed by it. For example, DCNs do not always run at full capacity yet the fact that they are supporting a lighter load is not mirrored by a reduction in energy consumption. DCNs have been shown to unnecessarily over-consume energy when they are not fully loaded. In this paper, we propose a new framework that reduces power consumption in software-defined DCNs. The proposed approach is composed of a new Integer Programming model and a heuristic link utility-based algorithm that strikes a balance between energy consumption and performance. We evaluate the proposed framework using an experimental platform, which consists of an optimization tool called LinGo for solving convex and non-convex optimization problems, the POX controller and the Mininet network emulator. Compared with the state-of-the-art approach, the equal cost multi-path algorithm, the results show that the proposed method reduces the power consumption by up to 10% when the network is experiencing a high traffic load and 63.3% when the traffic load is low. Based on these results, we outline how machine learning approaches could be used to further improve our approach in future work.

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SDN Controller Placement and Switch Assignment for Low Power IoT

Cited by 7 publications

References 13 publications

Controller Placement in Software Defined Internet of Things Using Optimization Algorithm

Controller Placement in Software Defined Internet of Things Using Optimization Algorithm

SDN for IoT Environment: A Survey and Research Challenges

An Adaptive Routing Framework for Efficient Power Consumption in Software-Defined Datacenter Networks

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