Multi-constrained unmanned surface vessel network transmission routing algorithm based on SDN

Objective In order to solve the problems of the large communication data volume and high transmission delay of unmanned surface vessels (USVs), a USV multi-constrained network transmission routing algorithm (USMCRA) is proposed under the software-defined network (SDN) architecture suitable for USVs....

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Main Authors: Lijia CHEN, Wei ZHOU, Yi XU, Tianming WEI, Yanfei TIAN
Format: Article
Language:English
Published: Editorial Office of Chinese Journal of Ship Research 2022-08-01
Series:Zhongguo Jianchuan Yanjiu
Subjects:
Online Access:http://www.ship-research.com/cn/article/doi/10.19693/j.issn.1673-3185.02454
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author Lijia CHEN
Wei ZHOU
Yi XU
Tianming WEI
Yanfei TIAN
author_facet Lijia CHEN
Wei ZHOU
Yi XU
Tianming WEI
Yanfei TIAN
author_sort Lijia CHEN
collection DOAJ
description Objective In order to solve the problems of the large communication data volume and high transmission delay of unmanned surface vessels (USVs), a USV multi-constrained network transmission routing algorithm (USMCRA) is proposed under the software-defined network (SDN) architecture suitable for USVs.MethodBy establishing a USV network model with SDN architecture, the routing problem in the network is transformed into a multi-constrained shortest path problem, and the algorithm is used to select the appropriate routing node to complete the data transmission. Obtain the state information in the network link through the SDN controller, take the bandwidth, delay and data stream size as constraints, and implement this algorithm in combination with the Dijkstra algorithm design. In the simulation experiment, the USV network model is built through the mininet simulation platform, and the USMCRA algorithm is designed in the RYU controller to realize the network simulation. ResultsThe results show that the routing algorithm improves the transmission efficiency and stability of a USV network. Compared with the traditional network architecture, the network transmission rate with the USMCRA algorithm is increased by about 16%, and the peak value of the network jitter is controlled at 0.2 ms, realizing network optimization.Conclusion The proposed USMCRA algorithm provides a new solution for the problems of large communication data volume and high transmission delay experienced by USVs.
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spelling doaj.art-3e2affa143274e868e79e94e229b021d2022-12-22T04:21:39ZengEditorial Office of Chinese Journal of Ship ResearchZhongguo Jianchuan Yanjiu1673-31852022-08-0117410711310.19693/j.issn.1673-3185.02454ZG2454Multi-constrained unmanned surface vessel network transmission routing algorithm based on SDNLijia CHEN0Wei ZHOU1Yi XU2Tianming WEI3Yanfei TIAN4School of Navigation, Wuhan University of Technology, Wuhan 430063, ChinaSchool of Navigation, Wuhan University of Technology, Wuhan 430063, ChinaSchool of Computer and Architecture intelligence, Wuhan University of Technology, Wuhan 430063, ChinaSchool of Navigation, Wuhan University of Technology, Wuhan 430063, ChinaSchool of Naval Architecture and Maritime, Zhejiang Ocean University, Zhoushan 316022, ChinaObjective In order to solve the problems of the large communication data volume and high transmission delay of unmanned surface vessels (USVs), a USV multi-constrained network transmission routing algorithm (USMCRA) is proposed under the software-defined network (SDN) architecture suitable for USVs.MethodBy establishing a USV network model with SDN architecture, the routing problem in the network is transformed into a multi-constrained shortest path problem, and the algorithm is used to select the appropriate routing node to complete the data transmission. Obtain the state information in the network link through the SDN controller, take the bandwidth, delay and data stream size as constraints, and implement this algorithm in combination with the Dijkstra algorithm design. In the simulation experiment, the USV network model is built through the mininet simulation platform, and the USMCRA algorithm is designed in the RYU controller to realize the network simulation. ResultsThe results show that the routing algorithm improves the transmission efficiency and stability of a USV network. Compared with the traditional network architecture, the network transmission rate with the USMCRA algorithm is increased by about 16%, and the peak value of the network jitter is controlled at 0.2 ms, realizing network optimization.Conclusion The proposed USMCRA algorithm provides a new solution for the problems of large communication data volume and high transmission delay experienced by USVs.http://www.ship-research.com/cn/article/doi/10.19693/j.issn.1673-3185.02454unmanned surface vessels (usv)software-defined networknetwork transmissionrouting algorithm
spellingShingle Lijia CHEN
Wei ZHOU
Yi XU
Tianming WEI
Yanfei TIAN
Multi-constrained unmanned surface vessel network transmission routing algorithm based on SDN
Zhongguo Jianchuan Yanjiu
unmanned surface vessels (usv)
software-defined network
network transmission
routing algorithm
title Multi-constrained unmanned surface vessel network transmission routing algorithm based on SDN
title_full Multi-constrained unmanned surface vessel network transmission routing algorithm based on SDN
title_fullStr Multi-constrained unmanned surface vessel network transmission routing algorithm based on SDN
title_full_unstemmed Multi-constrained unmanned surface vessel network transmission routing algorithm based on SDN
title_short Multi-constrained unmanned surface vessel network transmission routing algorithm based on SDN
title_sort multi constrained unmanned surface vessel network transmission routing algorithm based on sdn
topic unmanned surface vessels (usv)
software-defined network
network transmission
routing algorithm
url http://www.ship-research.com/cn/article/doi/10.19693/j.issn.1673-3185.02454
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