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1.
目前对于802.11p MAC 协议的研究多是通过计算机仿真或理论分析的方式进行,缺乏对其实际性能进行验证的有效手段。通过对802.11p MAC标准基本机制的分析和研究,基于FPGA平台设计和实现了MAC协议实体,并构建了包含上位机软件、MAC实体、信道模拟及各种通信接口在内的完整的测试环境。为 MAC 相关算法和机制的研究构建了真实的分析验证平台,研究成果可直接应用于实际通信系统,缩短原型系统的开发周期。 相似文献
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针对车载自组织网络（VANETs）的通信特点,基于移动预测的广播路由协议（MPBP）可以有效的提高网络的性能。MPBP的核心思想是根据车辆的位置信息和相对速度来预测节点和的链的路生存期,即连接的持续时间,由此来选择可靠高效的下一跳,即为选择了最稳定的路由路径,由此提高路由性能。仿真结果表明,无论在低速或高速场景下,MPBP协议能够实现可靠的数据递交率和较小的数据传榆时延。 相似文献
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In vehicular ad hoc networks (VANETs), the frequent change in vehicle mobility creates dynamic changes in communication link and topology of the network. Hence, the key challenge is to address and resolve longer transmission delays and reduced transmission stability. During the establishment of routing path, the focus of entire research is on traffic detection and road selection with high traffic density for increased packet transmission. This reduces the transmission delays and avoids carry-and-forward scenarios; however, these techniques fail in obtaining accurate traffic density in real-time scenario due to rapid change in traffic density. Thus, it is necessary to create a model that efficiently monitors the traffic density and assist VANETs in route selection in an automated way with increased accuracy. In this article, a novel machine learning architecture using deep reinforcement learning (DRL) model is proposed to monitor and estimate the data essential for the routing protocol. In this model, the roadside unit maintains the traffic information on roads using DRL. The DRL predicts the movement of the vehicle and makes a suitable routing path for transmitting the packets with improved transmission capacity. It further uses predicted transmission delays and the destination location to choose the forwarding directions between two road safety units (RSUs). The application of DRL over VANETs yields increased network performance, which provides on-demand routing information. The simulation results show that the DRL-based routing is effective in routing the data packets between the source and destination vehicles than other existing method. 相似文献
4.
Chen Chen Huan Li Xi'ang Li Jianlong Zhang Hong Wei Hao Wang 《Digital Communications & Networks》2021,7(4):479-491
A Trunk Line Based Geographic Routing(TLBGR) protocol in Vehicular Ad-hoc Networks (VANETs) is proposed in this paper to solve the problem of data acquisition in the traditional trunk coordinated control system. Because of the characteristics of short communication time and high packet loss among vehicles, the vehicles entering the trunk lines can not transmit their information to the trunk coordinated control system stably. To resolve this problem, the proposed protocol uses the trunk lines’ traffic flow and the surrounding road network to provide a real-time data transmission routing scheme. It takes into account the data congestion problem caused by the large traffic flow of the main roads, which leads to the corresponding increase of the information flow of the section and the package loss, and the link partition problem caused by the insufficient traffic flow, which makes the vehicles have to carry and relay information thus increasing the transmission delay. The proposed TLBGR protocol can be divided into two stages: the next-intersection selection, and the next-hop selection in the chosen path between the current and next intersections. Simulation results show that, compared with other IoT routing protocols including Greedy Perimeter Stateless Routing (GPSR), Ad-hoc On Demand Vector (AODV), and Q-AODV, the TLBGR protocol has better performance in aspects of end-to-end delay, delivery rate, and routing cost under the scenario of urban traffic trunk lines. The TLBGR protocol can effectively avoid data congestion and local optimum problems, increase the delivery rate of data packets, and is therefore suitable for the routing requirements in this application scenario. 相似文献
5.
当今,车联网是实现智能交通应用的平台。车联网有着特殊的网络特征,使得其上的数据聚集算法不同现有的无线传感器网络数据聚集。数据聚集可以有效地降低传输过程中的数据量,但同时亦会引起数据时延的增加和数据精度的降低。因此聚集算法往往考虑聚集数据的时延和精度。本文对现有的车联网聚集算法进行综述分析。 相似文献
6.
车载网VANETs中网络服务和应用需不断交互车辆的位置信息,而节点之间的障碍物使两车间产生非视线距离NLOS(nonline of sight),同时也阻碍位置信息的交互.针对如何获取车辆可靠的位置信息,提出了一种位置信息协作式获取方法.首先在假设条件成立的情况下,建立车辆协作式位置信息获取模型,同时基于三角算法获取车辆位置信息;其次,设计协议算法对所获得的信息结合距离计算进行二次完整性验证;最后用仿真软件对所提出的位置信息获取和验证的算法分析,从感知率、信道利用率、发送成功率和响应时间等指标对算法进行了评价.仿真结果表明,NLOS环境下的车辆位置信息协作式获取和验证方法有利于维护NLOS环境下定位服务准确性,能够对所获取的信息进行正确性判断,有一定的借鉴价值. 相似文献
7.
Gopinath Nithyanandam Chinnasamy Ambayiram Bhalaji Natarajan 《International Journal of Communication Systems》2024,37(4):e5680
Vehicular ad hoc networks (VANETs) are the ultimate solution for preventing road accidents, which result in the loss of precious human life worldwide. In this context, effective communication between the vehicular nodes is essential due to the varying network topology and high vehicular mobility inherent with VANETs. Cluster-based routing is identified to be a significant approach for achieving efficient routing and improving communication proficiency in VANETs. In this paper, a beetle colony optimization algorithm–based clustering scheme (BCOACS) is proposed for generating optimized clusters for facilitating reliable data dissemination. This BCOACS algorithm includes two vital strategies such as beetle antenna search (BAS) and swarm intelligence for attaining inter-cluster and intra-cluster communications. In specific, BAS strategy that includes random search attributed toward gradient direction is used for intra-cluster communication without using the complete amount of gradient information. On the other hand, a swarm intelligence strategy that encompasses a collective approach of self-organized and decentralized agents is used for inter-cluster communication with the view to minimize the load on each cluster head (CH) and to extend the clusters' lifetime. The simulation outcomes of the proposed BCOACS scheme confirmed improved performance in optimizing the number of constructed clusters independent of the increase in the network grid size, transmission range, and number of vehicular nodes in the network compared to the benchmarked approaches. The results also confirmed that the proposed BCOACS scheme achieved a maximized throughput of 13.42%, with reduced delay and protocol overhead of 18.96% and 19.45%, better than the benchmarked schemes used for investigation. 相似文献
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In a vehicular ad hoc network (VANET) each node is required to transmit periodic and event-driven messages. The periodic messages are also known as beacons and consist of the basic vehicle status, such as position, speed, direction, and any additional information required by a safety application. One of the main concerns faced with this technology is channel congestion, which often happens in scenarios with a high vehicular density like traffic jams. When the channel is congested, there are no guarantees for a reliable message delivery. For this purpose, several protocols have been proposed to resolve this issue. In this work we propose neighbor congestion avoidance protocol (NCAP) as a novel solution employing a proactive strategy with vehicle position prediction using Kalman filter and an efficient event-driven message delivery scheme. When compared with other strategies in congested scenarios, NCAP was able to significantly decrease the number of beacons by 49%, while also reducing the number of event-driven message retransmissions by approximately 81%. NCAP also presented better performance in regard to the number of collisions between messages and channel busy ratio. 相似文献
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In a vehicular ad hoc network, trust between vehicles is vital to efficiently transmit the data among vehicles. Secure node selection is based on the trust value that a node can calculate during its operations in a dynamic network. This will increase the confidentiality level of the network, thus improving the network performance. However, defining confidentiality is not a crisp task, rather it can range between certain limits. A fuzzy‐based inference engine can be used to optimally define these limits. In this paper, a fuzzy‐based trust prediction model is proposed to effectively compute the trust of other vehicles for the secure path formation in vehicular ad hoc networks. In the designed approach, each vehicle models the trustworthiness of the neighbors in its cognitive range to dynamically select the relay nodes that can be used for data transmission and the election of the appropriate path for routing in vehicular ad hoc network environment. The results and analysis of the proposed model over the standard protocols are presented using simulations. Copyright © 2016 John Wiley & Sons, Ltd. 相似文献
10.
The authentication protocol is vital for the security of the wireless sensor network to resist the known threats, such as eavesdropping, replay attack, man‐in‐the‐middle attack, etc. In this paper, a lightweight authentication protocol for vehicular ad hoc networks is proposed using the symmetric encryption, the group communication method, and the proactive authentication technique, which not only achieves the desired security goals but also guarantees the practical anonymity and the accountability. The analysis demonstrates that the proposed protocol works properly in the high‐density and the low‐density traffic environment. 相似文献