An Efficient Distributed Approach for Load Balancing in IoT Based on SDN Principles

Eghbali, Zahra; Lighvan, ‪Mina Zolfy; Beheshti, Arezoo

doi:10.1109/icccnt45670.2019.8944808

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…A framework was presented in Ref. [ 83 ] to balance the load between IoT devices based on SDN principles. The Framework applies different management strategies in a distributed manner to distribute tasks between devices equally while accelerating data management among IoT devices.…”

Section: Classification Of Software-defined Wireless Network Load Bal...mentioning

confidence: 99%

Software defined wireless sensor load balancing routing for internet of things applications: Review of approaches

Isyaku,

Abu Bakar,

Yusuf

et al. 2024

Heliyon

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Section: Classification Of Software-defined Wireless Network Load Bal...mentioning

confidence: 99%

Software defined wireless sensor load balancing routing for internet of things applications: Review of approaches

Isyaku,

Abu Bakar,

Yusuf

et al. 2024

Heliyon

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“…Authors also implement the migration efficiency problem, which effectively addresses the load balancing rate and the migration cost to efficiently migrate switches. The authors of Eghbali et al [24] suggested the distributed approach for the load balance between SDN and IoT based devices. The designed model enables the application of distinct distributed management approaches.…”

Section: Related Researchmentioning

confidence: 99%

“…As a result, controller is failed and network collapse in the worst case scenario. The researcher demonstrated multiple distributed controllers load balancing strategy focused on a consistent delay for controllers to configure the identified issues in the control layer [24]. When a controller crashes or the one controller is overburdened then the algorithm is being used to encourage the overloaded or defective switches controlled by the controller.…”

Section: System Modelmentioning

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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Honeypots Vulnerabilities to Backdoor Attack

Javid

Lighvan

2021

2021 International Conference on Information Security and Cryptology (ISCTURKEY)

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An Efficient Distributed Approach for Load Balancing in IoT Based on SDN Principles

Cited by 3 publications

References 13 publications

Software defined wireless sensor load balancing routing for internet of things applications: Review of approaches

Software defined wireless sensor load balancing routing for internet of things applications: Review of approaches

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

Honeypots Vulnerabilities to Backdoor Attack

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