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A novel SDN controller based on Ontology and Global Optimization for heterogeneous IoT architecture

Published: 07 December 2017 Publication History

Abstract

Today, our modern living world is covered by ubiquitous systems that offer the ability to assess, understand and handle the environmental indicators of our urban environment as well as our delicate ecology and natural resources. The sudden increase of such systems creates the notion of Internet of Things (IoT). However, the variety of components and wide-area deployments in IoT create a disadvantage point: the heterogeneity problem. Such system has multiple heterogeneous wireless communication solutions with multiple access technologies such as bluetooth, wifi, zigbee, cellular, MANET, etc. Concretely, the effectiveness is revealed by a variety of access technologies that are working on a common core network with a common policy for every type of access network. The challenge is how to manage this heterogeneous network in a dynamic context with an open and distributed infrastructure. One of the most efficiency solutions for this issue is the Software-Defined Network approach (SDN). This paper proposed a new SDN-based architecture with a centralized controller that has a capacity of self-observing and adapting. The SDN controller has the ability to incorporate and support user requests to classify flow scheduling over task-level. Besides, the paper creates an Ontology for analyzing user's request and based on the Lagrange relaxation theory for a heuristic routing algorithm. The experimental works showed that the proposed solution yielded impressive and good results.

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  • (2021)Opti-PUM: An Optimal Policy Update Mechanism for Link Failure Prevention in Mobile SDWM-IoT NetworksIEEE Systems Journal10.1109/JSYST.2020.300932515:3(3427-3438)Online publication date: Sep-2021
  • (2021)An intelligent way for optimal controller placements in software-defined–IoT networks for smart citiesComputers and Industrial Engineering10.1016/j.cie.2021.107667162:COnline publication date: 1-Dec-2021
  • (2019)A Novel Control Plane Optimization Strategy for Important Nodes in SDN-IoT NetworksIEEE Internet of Things Journal10.1109/JIOT.2018.28885046:2(3558-3571)Online publication date: Apr-2019
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cover image ACM Other conferences
SoICT '17: Proceedings of the 8th International Symposium on Information and Communication Technology
December 2017
486 pages
ISBN:9781450353281
DOI:10.1145/3155133
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • SOICT: School of Information and Communication Technology - HUST
  • NAFOSTED: The National Foundation for Science and Technology Development

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 December 2017

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Author Tags

  1. Internet of things
  2. Lagrange relaxation
  3. Software-defined network

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SoICT 2017

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Overall Acceptance Rate 147 of 318 submissions, 46%

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Cited By

View all
  • (2021)Opti-PUM: An Optimal Policy Update Mechanism for Link Failure Prevention in Mobile SDWM-IoT NetworksIEEE Systems Journal10.1109/JSYST.2020.300932515:3(3427-3438)Online publication date: Sep-2021
  • (2021)An intelligent way for optimal controller placements in software-defined–IoT networks for smart citiesComputers and Industrial Engineering10.1016/j.cie.2021.107667162:COnline publication date: 1-Dec-2021
  • (2019)A Novel Control Plane Optimization Strategy for Important Nodes in SDN-IoT NetworksIEEE Internet of Things Journal10.1109/JIOT.2018.28885046:2(3558-3571)Online publication date: Apr-2019
  • (2018)SDN-Based Multi-Protocol Edge Switching for IoT Service AutomationIEEE Journal on Selected Areas in Communications10.1109/JSAC.2018.287132536:12(2775-2786)Online publication date: 1-Dec-2018

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