Software Defined Internet of Things using lightweight protocol

Raikar, Meenaxi M.; Meena, S M; Mulla, Mohammed Moin

doi:10.1016/j.procs.2020.04.151

Cited by 14 publications

(3 citation statements)

References 25 publications

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“…The framework for integrating traffic classification using machine learning (ML) and network slicing is proposed for resource optimization in the SDN. The traffic classification using ML is performed using 44 network flow feature attributes, including source and destination IP address, source and destination port, protocol, and others [16,17]. The different workflow modules of ML included for intelligence embedding in networking are data collection, preprocessing/analysis, model construction, and validation, as shown Fig.…”

Section: Methodsmentioning

confidence: 99%

Network Slicing in Software-Defined Networks for Resource Optimization

Raikar

Meena

2021

Intelligent Sustainable Systems

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The Internet users' heterogeneous requirements pose a challenge to the service provider for catering to the network infrastructure needs to provide the different services. The partitioning of the shared physical network is proposed using a network slicing mechanism to meet this challenge. The classification of the services is carried out based on the attributes in the flow features. The flow features are extracted in real-time for traffic classification. The traffic classification is implemented using supervised learning models for different network services. The combination of traffic classification and network slicing is proposed for the dynamic allocation of resources. In this paper, the testbed to demonstrate the network slicing concept based on the bandwidth requirement is presented using FlowVisor and the OpenFlow protocol in software-defined networks. The intelligence is embedded into networks by integrating decision making using a supervised learning model for classification followed by network slicing for optimal resource allocation.

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Section: Methodsmentioning

confidence: 99%

Network Slicing in Software-Defined Networks for Resource Optimization

Raikar

Meena

2021

Intelligent Sustainable Systems

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“…Here is the SDN domain network concept in security : SDN will authenticate network devices to protect network resources and furthermore the control layer on SDN will push the appropriate stream entry to software or hardware [23]. Each layer is managed with a different controller and executed with centralized control [24].…”

Section: Sdn Infrastructure For Iot Securitymentioning

confidence: 99%

“…IoT Security [22], [23], [24] 6 Benefits of Implementing IoT [25], [26], [27] VI. CONCLUSION The use of IoT technology on campus is an effort to improve the quality of the campus both in terms of service and quality of human resources.…”

Section: -Save Operational Costsmentioning

confidence: 99%

IoT Usage On Smart Campus: A Systematic Literature Review

Madyatmadja¹,

Yulia²,

Sembiring³

et al. 2021

IJETAE

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— At present and along with the development of the times, higher education or campuses are increasingly competing with each other, especially in Indonesia. Each campus is competing to improve its quality so that it has a good assessment and can become a World Class University. This is done in various ways, for example, such as providing campus infrastructure that is equipped with adequate technology or combining technology into activities or all processes on campus, this is called the implementation of a smart campus. So that by forming a smart campus, the campus can produce better quality human resources. One form of technological advancement is the emergence of internet technology, the Internet stands for interconnection networking as a communication network connecting between electronic media using the standard IP (Internet Protocol). The internet has many benefits that make it widely used in various industrial sectors, one of which is in the higher education industry. IoT exists as an evolution of the internet as a system that has remote control. IoT is one of the right solutions to support smart campus implementation. The use of IoT on a smart campus can improve campus quality, efficiency and effectiveness. The purpose of this study is to determine the description of IoT, the network technology used and how the implementation can be done on a smart campus

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Analysis of Energy Optimization Approaches in Internet of Everything: An SDN Prospective

Singh

Bajaj

2021

Internet of Things

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Software Defined Internet of Things using lightweight protocol

Cited by 14 publications

References 25 publications

Network Slicing in Software-Defined Networks for Resource Optimization

Network Slicing in Software-Defined Networks for Resource Optimization

IoT Usage On Smart Campus: A Systematic Literature Review

Analysis of Energy Optimization Approaches in Internet of Everything: An SDN Prospective

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