VANET中基于WSN节点感知的高效路由协议设计方案
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摘要
在车载自组网(VANET)中,当网络密度较低时,VANET不能保证及时发现危险的路况或保持通信连通性,这可能对驾驶安全构成风险。为解决该问题,提出一种VANET中基于WSN节点感知的高效路由协议设计方案。该方案将VANET和WSN相结合,使用WSN节点沿着路边部署,以感知道路状况,并向车辆传递关于危险状况的信息,忽略VANET的密度和连通性。同时根据VANET中常用的被动式带宽估算方法,提出一种基于CORNER传播模型的带宽评估策略,实现链路可用带宽和信道容量的准确估计。仿真结果表明,该路由协议可以减少端到端延迟和能耗,合理地利用有限的网络带宽资源,减少丢包率。
VANETs may not guarantee timely detection of dangerous road conditions or maintain communication connectivity when the network density is low,which may pose a risk to driving safety. To solve this problem,this paper proposed an efficient routing protocol design based on WSN node perception in VANET. The program combined VANET with WSN and deployed sensor nodes along the roadside to sense road conditions and to deliver information about dangerous conditions to vehicles regardless of the density or connectivity of the VANET. In order to estimate the available bandwidth and channel capacity of the link correctly,this paper also proposed a bandwidth assessment method based on CORNER propagation model by using the commonly passive bandwidth estimation method in VANET. The simulation results show that the routing protocol can reduce the end-to-end delay and energy consumption and make reasonable use of limited network bandwidth resources,it reduces the packet loss rate.
VANETs may not guarantee timely detection of dangerous road conditions or maintain communication connectivity when the network density is low,which may pose a risk to driving safety. To solve this problem,this paper proposed an efficient routing protocol design based on WSN node perception in VANET. The program combined VANET with WSN and deployed sensor nodes along the roadside to sense road conditions and to deliver information about dangerous conditions to vehicles regardless of the density or connectivity of the VANET. In order to estimate the available bandwidth and channel capacity of the link correctly,this paper also proposed a bandwidth assessment method based on CORNER propagation model by using the commonly passive bandwidth estimation method in VANET. The simulation results show that the routing protocol can reduce the end-to-end delay and energy consumption and make reasonable use of limited network bandwidth resources,it reduces the packet loss rate.
引文
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[2]游子毅,章俊华,陈世国,等.基于无线传感网络的数据融合方法及其在智能交通系统中的应用研究[J].计算机应用研究,2014,31(6):1719-1722.
[3]唐伦,王晨梦,陈前斌.车载自组织网络中基于时分复用的异步多信道MAC协议[J].计算机学报,2015,38(3):673-684.
[4]边贵云,田锐,黄志清.基于分布式社区学习的VANET数据转发机制[J].计算机工程,2016,42(3):1-6.
[5]诸浩富,毛剑琳,王昌征,等.大规模无线传感器网络正六边形覆盖时的传输容量研究[J].计算机应用研究,2017,34(5):1468-1472.
[6] Shang Junna,Liu Chunju,Yue Keqiang,et al. WSN node localization based on improved bi-system cooperative optimization algorithm[J]. Gynecologic Oncology,2015,103(1):87-93.
[7]马林华,张嵩,茹乐,等.航空高动态网络链路感知OLSR路由算法[J].北京航空航天大学学报,2016,42(7):1326-1334.
[8]祝毅鸣,张波,刘莹.自适应缓冲控制的移动机器人分布式多跳路由算法[J].计算机应用研究,2017,34(2):582-586.
[9]李琳琪,杨新宇.一种新型的半固定地理路由[J].西安交通大学学报,2016,50(2):7-12.
[10]管伟,任清华,张衡阳,等.基于模糊逻辑控制的贪婪转发策略改进[J].计算机应用研究,2011,28(1):282-286.
[11]朱慧玲,杭大明,马正新,等. Qo S路由选择:问题与解决方法综述[J].电子学报,2003,31(1):109-116.
[12] Cai Xuelian,He Ying,Zhao Chunchun,et al. LSGO:link state aware geographic opportunistic routing protocol for VANETs[J].EURASIP Journal on Wireless Communications&Networking,2014,2014(1):96.
[13]Subramanian A P,Buddhikot M M,Miller S. Interference aware routing in multi-radio wireless mesh networks[C]//Proc of IEEE Workshop on Wireless Mesh Networks. Piscataway, NJ:IEEE Press,2006:55-63.
[14] Gupta S K,Jana P K. Energy efficient clustering and routing algorithms for wireless sensor networks:GA based approach[J]. Wireless Personal Communications,2015,83(3):2403-2423.
[15]Hassan A,Alshomrani S,Altalhi A,et al. Improved routing metrics for energy constrained interconnected devices in low-power and lossy networks[J]. Journal of Communications&Networks,2016,18(3):327-332.
[16]Giordano E,Frank R,Pau G,et al. CORNER:a radio propagation model for VANETs in urban scenario[J]. Proceedings of the IEEE,2011,99(7):1280-1294.