Performance analysis of scalable video transmission in machine-type-communication caching network

In this article, different from the traditional Device-to-Device caching wireless cellular networks, we consider the scalable video coding performance in cache-based machine-type communication network, where popular videos encoded by scalable video coding method can be cached at machine-type devices...

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Main Authors: Yanzhao Hou, Nan Hu, Qimei Cui, Xiaofeng Tao
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147718815851
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author Yanzhao Hou
Nan Hu
Qimei Cui
Xiaofeng Tao
author_facet Yanzhao Hou
Nan Hu
Qimei Cui
Xiaofeng Tao
author_sort Yanzhao Hou
collection DOAJ
description In this article, different from the traditional Device-to-Device caching wireless cellular networks, we consider the scalable video coding performance in cache-based machine-type communication network, where popular videos encoded by scalable video coding method can be cached at machine-type devices with limited memory space. We conduct a comprehensive analysis of the caching hit probability using stochastic geometry, which measures the probability of requested video files cached by nearby local devices and the user satisfaction index, which is essential to delay sensitive video streams. Simulation results prove the derivation of the performance metrics to be correct, using Random cache method and Popularity Priority cache method. It is also demonstrated that scalable video coding–based caching method can be applied according to different user requirements as well as video-type requests, to achieve a better performance.
format Article
id doaj-art-20a6312d77ca43c5a92b65e5470cf23e
institution Kabale University
issn 1550-1477
language English
publishDate 2019-01-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-20a6312d77ca43c5a92b65e5470cf23e2025-08-20T03:54:47ZengWileyInternational Journal of Distributed Sensor Networks1550-14772019-01-011510.1177/1550147718815851Performance analysis of scalable video transmission in machine-type-communication caching networkYanzhao HouNan HuQimei CuiXiaofeng TaoIn this article, different from the traditional Device-to-Device caching wireless cellular networks, we consider the scalable video coding performance in cache-based machine-type communication network, where popular videos encoded by scalable video coding method can be cached at machine-type devices with limited memory space. We conduct a comprehensive analysis of the caching hit probability using stochastic geometry, which measures the probability of requested video files cached by nearby local devices and the user satisfaction index, which is essential to delay sensitive video streams. Simulation results prove the derivation of the performance metrics to be correct, using Random cache method and Popularity Priority cache method. It is also demonstrated that scalable video coding–based caching method can be applied according to different user requirements as well as video-type requests, to achieve a better performance.https://doi.org/10.1177/1550147718815851
spellingShingle Yanzhao Hou
Nan Hu
Qimei Cui
Xiaofeng Tao
Performance analysis of scalable video transmission in machine-type-communication caching network
International Journal of Distributed Sensor Networks
title Performance analysis of scalable video transmission in machine-type-communication caching network
title_full Performance analysis of scalable video transmission in machine-type-communication caching network
title_fullStr Performance analysis of scalable video transmission in machine-type-communication caching network
title_full_unstemmed Performance analysis of scalable video transmission in machine-type-communication caching network
title_short Performance analysis of scalable video transmission in machine-type-communication caching network
title_sort performance analysis of scalable video transmission in machine type communication caching network
url https://doi.org/10.1177/1550147718815851
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AT nanhu performanceanalysisofscalablevideotransmissioninmachinetypecommunicationcachingnetwork
AT qimeicui performanceanalysisofscalablevideotransmissioninmachinetypecommunicationcachingnetwork
AT xiaofengtao performanceanalysisofscalablevideotransmissioninmachinetypecommunicationcachingnetwork