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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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/ |
work_keys_str_mv |
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