Software-Defined Networks (SDNs) and Internet of Things (IoTs): A Qualitative Prediction for 2020

Tayyaba, Sahrish Khan; Shah, Munam Ali; Khan, Naila Sher Afzal; Asim, Yousra; Naeem, Wajeeha; Kamran, Muhammad

doi:10.14569/ijacsa.2016.071151

Cited by 18 publications

(7 citation statements)

References 40 publications

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“…Load balancing in SDN-IoT is the distribution of load amongst the different servers in order to refine the resources, degrade the response time, maximize the throughput, and enhance Quality of Service (QoS) [6]. In conventional load balancing networks, it facilitates the support of hardware which is very expensive and suffers from a lack of flexibility; with this it becomes a single point of failure easily.…”

Section: Motivationmentioning

confidence: 99%

Load Balancing Algorithm on the Immense Scale of Internet of Things in SDN for Smart Cities

et al. 2021

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Since the worldwide Internet of Things (IoT) in smart cities is becoming increasingly popular among consumers and the business community, network traffic management is a crucial issue for optimizing the IoT ’s performance in smart cities. Multiple controllers on a immense scale implement in Software Defined Networks (SDN) in integration with Internet of Things (IoT) as an emerging paradigm enhances the scalability, security, privacy, and flexibility of the centralized control plane for smart city applications. The distributed multiple controller implementation model in SDN-IoT cannot conform to the dramatic developments in network traffic which results in a load disparity between controllers, leading to higher packet drop rate, high response time, and other problems with network performance deterioration. This paper lays the foundation on the multiple distributed controller load balancing (MDCLB) algorithm on an immense-scale SDN-IoT for smart cities. A smart city is a residential street that uses information and communication technology (ICT) and the Internet of Things (IoT) to improve its citizens’ quality of living. Researchers then propose the algorithm on the unbalancing of the load using the multiple controllers based on the parameter CPU Utilization in centralized control plane. The experimental results analysis is performed on the emulator named as mininet and validated the results in ryu controller over dynamic load balancing based on Nash bargaining, efficient switch migration load balancing algorithm, efficiency aware load balancing algorithm, and proposed algorithm (MDCLB) algorithm are executed and analyzed based on the parameter CPU Utilization which ensures that the Utilization of CPU with load balancing is 20% better than the Utilization of CPU without load balancing.

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Section: Motivationmentioning

confidence: 99%

Load Balancing Algorithm on the Immense Scale of Internet of Things in SDN for Smart Cities

et al. 2021

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“…In the SDN, the controller maintains the intelligence of the whole network. But on the other hand, the data plane is distributed into multiples of switches and routers that are responsible for flow forwarding or routing based on flow entries generated by the control plane [8]. In SDN architecture, the Open Flow protocol is used to define data structures, messages, and procedures, to describe all the physical and logical elements within a data path and to ensure traditional functions of the control plane, such as modifying packets, managing the routing table, and managing the different flows.…”

Section: ) Complexitymentioning

confidence: 99%

“…So, to manage such a network and overcome these drawbacks, flexibility will be the key feature of this mobile generation. This architectural flexibility will be released by implementing the Software Defined Network (SDN) in the 5G mobile network [8]- [10]. SDN is based on the separation between the control plane, and the data plane allowing the handling of the traffic by means of software [11]- [14].…”

Section: Introductionmentioning

confidence: 99%

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Software Defined Network-Based Management for Enhanced 5G Network Services

2020

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Due to the fast development in communication technology and the emerging usage of Internet of Things (IoT) devices that produce a huge amount of data, the fifth generation (5G) mobile network is introduced to support this development. This mobile network can provide many advanced communication features in cellular phones. But unfortunately, this technology faces many challenges. One of its defective challenges is the management of a massive number of devices running different services, so Software Defined Network (SDN) is proposed as a key technology to overcome this drawback. SDN architecture provides higher flexibility, scalability, cost-effectiveness, and energy efficiency in 5G mobile networks. There are usually different architectures for the SDN control plane. We study some of these architectures, and we conciliate the usage of Logically Centralized-Physically Distributed (LC-PD) controller management architecture in 5G networks. This architecture enables providing higher throughput, and lower latency compared to other control plane architectures. In this paper, we focus on the demonstration that the LC-PD control plane architecture improves communication efficiency and the Quality of Services (QoS) of running internet services in the 5G mobile network. We use the Mininet-WIFI emulator in our simulation tests. Our conducted simulations show that employing the LC-PD control plane architecture in 5G networks enhances the QoS of Internet services compared to other SDN implementations. INDEX TERMS Software defined network, 5G networks, quality of service, network management, controller placement.

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“…Navigation assaults include a malware on the delivery service, intrusion on the morphological provider, assaults on several path services, and facilitation of authenticity. It was categorized in [ 4 , 5 ] and intends to exhaust network capacity and espionage. Track protection requires considerable investigation.…”

Section: Introductionmentioning

confidence: 99%

Enhance Software-Defined Network Security with IoT for Strengthen the Encryption of Information Access Control

Vimal

Muruganantham²,

Prabha³

et al. 2022

Computational Intelligence and Neuroscience

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The Internet of Things (IoT) is legitimately growing quicker. The operators have already started setting up a diligent infrastructure for these gadgets. Various technologies need to be developed for this type of sensor, including enterprise safety initiatives. This paper covers the stability routing protocol, which assumes an assessment of credibility in gadgets and packet flow. To build reliable Software-Defined Network (SDN) routes, build on the trust between network element flows and Quality of Service (QoS) or energy conditions. The SDN architecture is used for the Cognitive Protocol Network (CPN) technical platform to increase the energy level. Stochastic Neural Networks (SNNs) are accredited with information extracted from perceptual packets and make decentralized decisions. The proposed network infrastructure is designed and integrated into the SerIoT techniques to strengthen IoT encryption for information access control. The versatility of the technology is to circumvent the unpredictable connectivity of the system and the node decreases in terms of potential cryptographic capacity, limited interval, a target node, and deterministic energy. Based on factual statistical data, appropriate marketing generates an end-to-end antitheft solution that meets a set of predetermined circuit restrictions. A study must collaborate by demonstrating numerous flaws due to the obvious instability of clusters, which is essential for the efficiency of the platform.

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Software-Defined Networks (SDNs) and Internet of Things (IoTs): A Qualitative Prediction for 2020

Abstract: Abstract-The

Cited by 18 publications

References 40 publications

Load Balancing Algorithm on the Immense Scale of Internet of Things in SDN for Smart Cities

Load Balancing Algorithm on the Immense Scale of Internet of Things in SDN for Smart Cities

Software Defined Network-Based Management for Enhanced 5G Network Services

Enhance Software-Defined Network Security with IoT for Strengthen the Encryption of Information Access Control

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