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http://dx.doi.org/10.5762/KAIS.2017.18.6.336

A Study on Smart Network Utilizing the Data Localization for the Internet of Things  

Kang, Mi-Young (Department of Computer Information and Communication Engineering, Chonnam National University)
Nam, Ji-Seung (Department of Electronic Computer Engineering, Chonnam National University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.18, no.6, 2017 , pp. 336-342 More about this Journal
Abstract
Traffic can be localized by reducing the traffic load on the physical network by causing traffic to be generated at the end of the packet network. By localizing traffic, the IoT-based sensitive data-related security issues can be supported effectively. In addition, it can be applied effectively to the next-generation smart network environment without changing the existing network infrastructure. In this paper, a content priority scheme was applied to smart network-based IoT data. The IoT contents were localized to efficiently pinpoint the flow of traffic on the network to enable smart forwarding. In addition, research was conducted to determine the effective network traffic routes through content localization. Through this study, the network load was reduced. In addition, it is a network structure that can guarantee user quality. In addition, it proved that the IoT service can be accommodated effectively in a smart network-based environment.
Keywords
CCN; Data Localization; Internet of Things; Smart Network; Smart Forwarding;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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