A Smart Collaborative Routing Protocol for QoE Enhancement in Multi-Hop Wireless Networks

The multi-hop wireless network (MWN) is an important green communication method for the Internet of Things (IoT). However, existing routing protocols in MWN have insufficient considerations for quality of experience (QoE). In this paper, we propose a QoE enhancement routing (QER) protocol based on s...

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Main Authors: Letian Li, Liu Chang, Fei Song
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9099554/
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spelling doaj-61ff6dcab50c484d9798f86d740cfdb02021-03-30T01:37:16ZengIEEEIEEE Access2169-35362020-01-01810096310097310.1109/ACCESS.2020.29973509099554A Smart Collaborative Routing Protocol for QoE Enhancement in Multi-Hop Wireless NetworksLetian Li0https://orcid.org/0000-0001-6856-1785Liu Chang1https://orcid.org/0000-0001-7664-8290Fei Song2https://orcid.org/0000-0003-1289-5502School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, ChinaNetwork Technology Research Institute, China Unicom, Beijing, ChinaSchool of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, ChinaThe multi-hop wireless network (MWN) is an important green communication method for the Internet of Things (IoT). However, existing routing protocols in MWN have insufficient considerations for quality of experience (QoE). In this paper, we propose a QoE enhancement routing (QER) protocol based on smart collaborative theory. First, crucial parameters which affect data transmission process are analyzed comprehensively and applications of MWN are introduced. Second, two stages of QER protocol, i.e. collaborative perception and smart decision, are designed to collect real-time network information and decide the optimal routing mechanism, respectively. Corresponding procedures are discussed in-depth with the system availability. Third, we integrate three routing mechanisms into QER and conduct a comparative analysis. Evaluation environments are created with reasonable configurations. Performance validation demonstrates that our solution is able to intelligently execute the suitable strategy. Compared with traditional protocols, QER can outperform other candidates in diverse scenarios.https://ieeexplore.ieee.org/document/9099554/Smart collaborativeadaptive routingquality of experiencemulti-hop network
collection DOAJ
language English
format Article
sources DOAJ
author Letian Li
Liu Chang
Fei Song
spellingShingle Letian Li
Liu Chang
Fei Song
A Smart Collaborative Routing Protocol for QoE Enhancement in Multi-Hop Wireless Networks
IEEE Access
Smart collaborative
adaptive routing
quality of experience
multi-hop network
author_facet Letian Li
Liu Chang
Fei Song
author_sort Letian Li
title A Smart Collaborative Routing Protocol for QoE Enhancement in Multi-Hop Wireless Networks
title_short A Smart Collaborative Routing Protocol for QoE Enhancement in Multi-Hop Wireless Networks
title_full A Smart Collaborative Routing Protocol for QoE Enhancement in Multi-Hop Wireless Networks
title_fullStr A Smart Collaborative Routing Protocol for QoE Enhancement in Multi-Hop Wireless Networks
title_full_unstemmed A Smart Collaborative Routing Protocol for QoE Enhancement in Multi-Hop Wireless Networks
title_sort smart collaborative routing protocol for qoe enhancement in multi-hop wireless networks
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description The multi-hop wireless network (MWN) is an important green communication method for the Internet of Things (IoT). However, existing routing protocols in MWN have insufficient considerations for quality of experience (QoE). In this paper, we propose a QoE enhancement routing (QER) protocol based on smart collaborative theory. First, crucial parameters which affect data transmission process are analyzed comprehensively and applications of MWN are introduced. Second, two stages of QER protocol, i.e. collaborative perception and smart decision, are designed to collect real-time network information and decide the optimal routing mechanism, respectively. Corresponding procedures are discussed in-depth with the system availability. Third, we integrate three routing mechanisms into QER and conduct a comparative analysis. Evaluation environments are created with reasonable configurations. Performance validation demonstrates that our solution is able to intelligently execute the suitable strategy. Compared with traditional protocols, QER can outperform other candidates in diverse scenarios.
topic Smart collaborative
adaptive routing
quality of experience
multi-hop network
url https://ieeexplore.ieee.org/document/9099554/
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