摘要
为了提高无人驾驶车辆自组织网络实时数据传输速率,提升无人驾驶车联网络的吞吐量,提出了一种协作资源分配的无人驾驶车载网链路调度算法。该算法首先构建了基于2-H的协作通信系统,采用价值函数来描述链路速率与所分配资源单元之间的关系,进一步提出无人驾驶车联网络的最大吞吐量方程。接着,为了对通信资源进行合理分配,基于多选择性背包问题,对链路速率进行了调度,并采用穷举搜索法求解无人驾驶车辆节点数量的最佳值。实验仿真结果表明,该算法相比基于分散感知和聚类的车辆网络以及基于信道传输模型优化的车辆网络,在链路速率上分别提升了8.7%和7.4%,网络总吞吐量分别提升了10.6%和12.8%,能够更好地满足无人驾驶车辆网络的数据传输速率要求。
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 opti-mal value of the number of unmanned vehicle nodes is solved by exhaustive search method. Experimental results show that, com-pared 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 net-work 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.
作者
盛雪丰
姚宇峰
Sheng Xuefeng;Yao Yufeng(Department of Computer Science and Technology-,Suzhou Infbrmation Career Technical College,Suzhou 215000,China;School of Computer Science,Soochow University,Suzhou 215000,China)
出处
《电子技术应用》
2018年第8期105-108,117,共5页
Application of Electronic Technique
关键词
无人驾驶车联网络
车载网络
协作通信系统
链路调度
价值函数
unmanned vehicle network
vehicle network
cooperative communication system
link scheduling
value function
