Coordinated resource allocation algorithm for unmanned vehicle link scheduling
To improve the real-time data transmission rate of unmanned vehicle ad hoc network and improve the throughput of unmanned vehicle network, a cooperative resource allocation algorithm for unmanned vehicle network link scheduling is proposed. Firstly, a 2-H cooperative communication system is construc...
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National Computer System Engineering Research Institute of China
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doaj-79827ca634db4f958ae7581c2d17bb7f2020-11-25T00:32:01ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982018-08-0144810510810.16157/j.issn.0258-7998.1749953000088881Coordinated resource allocation algorithm for unmanned vehicle link schedulingSheng Xuefeng0Yao Yufeng1Department of Computer Science and Technology,Suzhou Information Career Technical College,Suzhou 215000,ChinaSchool of Computer Science,Soochow University,Suzhou 215000,ChinaTo improve the real-time data transmission rate of unmanned vehicle ad hoc network and improve the throughput of unmanned vehicle network, a cooperative resource allocation algorithm for unmanned vehicle network link scheduling is proposed. Firstly, a 2-H cooperative communication system is constructed. The value function is used to describe the relationship between the link rate and the allocated resource unit. The maximum throughput equation of the unmanned vehicle is further proposed. Then, to allocate the communication resources reasonably, the link rate is dispatched based on multi-select knapsack problem, and the optimal value of the number of unmanned vehicle nodes is solved by exhaustive search method. Experimental results show that, compared with the vehicle network based on the distributed sensing and clustering and the optimization of the vehicle network based on the channel transmission model, the proposed algorithm improves the link speed by 8.7% and 7.4% respectively, and the total network throughput is improved respectively 10.6% and 12.8%. The proposed algorithm can better meet the requirements of data transmission rate of unmanned vehicle networks.http://www.chinaaet.com/article/3000088881unmanned vehicle networkvehicle networkcooperative communication systemlink schedulingvalue function |
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DOAJ |
language |
zho |
format |
Article |
sources |
DOAJ |
author |
Sheng Xuefeng Yao Yufeng |
spellingShingle |
Sheng Xuefeng Yao Yufeng Coordinated resource allocation algorithm for unmanned vehicle link scheduling Dianzi Jishu Yingyong unmanned vehicle network vehicle network cooperative communication system link scheduling value function |
author_facet |
Sheng Xuefeng Yao Yufeng |
author_sort |
Sheng Xuefeng |
title |
Coordinated resource allocation algorithm for unmanned vehicle link scheduling |
title_short |
Coordinated resource allocation algorithm for unmanned vehicle link scheduling |
title_full |
Coordinated resource allocation algorithm for unmanned vehicle link scheduling |
title_fullStr |
Coordinated resource allocation algorithm for unmanned vehicle link scheduling |
title_full_unstemmed |
Coordinated resource allocation algorithm for unmanned vehicle link scheduling |
title_sort |
coordinated resource allocation algorithm for unmanned vehicle link scheduling |
publisher |
National Computer System Engineering Research Institute of China |
series |
Dianzi Jishu Yingyong |
issn |
0258-7998 |
publishDate |
2018-08-01 |
description |
To improve the real-time data transmission rate of unmanned vehicle ad hoc network and improve the throughput of unmanned vehicle network, a cooperative resource allocation algorithm for unmanned vehicle network link scheduling is proposed. Firstly, a 2-H cooperative communication system is constructed. The value function is used to describe the relationship between the link rate and the allocated resource unit. The maximum throughput equation of the unmanned vehicle is further proposed. Then, to allocate the communication resources reasonably, the link rate is dispatched based on multi-select knapsack problem, and the optimal value of the number of unmanned vehicle nodes is solved by exhaustive search method. Experimental results show that, compared with the vehicle network based on the distributed sensing and clustering and the optimization of the vehicle network based on the channel transmission model, the proposed algorithm improves the link speed by 8.7% and 7.4% respectively, and the total network throughput is improved respectively 10.6% and 12.8%. The proposed algorithm can better meet the requirements of data transmission rate of unmanned vehicle networks. |
topic |
unmanned vehicle network vehicle network cooperative communication system link scheduling value function |
url |
http://www.chinaaet.com/article/3000088881 |
work_keys_str_mv |
AT shengxuefeng coordinatedresourceallocationalgorithmforunmannedvehiclelinkscheduling AT yaoyufeng coordinatedresourceallocationalgorithmforunmannedvehiclelinkscheduling |
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1725321408220758016 |