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...

Full description

Bibliographic Details
Main Authors: Sheng Xuefeng, Yao Yufeng
Format: Article
Language:zho
Published: National Computer System Engineering Research Institute of China 2018-08-01
Series:Dianzi Jishu Yingyong
Subjects:
Online Access:http://www.chinaaet.com/article/3000088881
id doaj-79827ca634db4f958ae7581c2d17bb7f
record_format Article
spelling 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
collection 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
_version_ 1725321408220758016