scholarly journals A Multi-Hop Data Dissemination Algorithm for Vehicular Communication

Computers ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 25 ◽  
Author(s):  
Odilbek Urmonov ◽  
HyungWon Kim

In vehicular networks, efficient multi-hop message dissemination can be used for various purposes, such a informing the driver about the recent emergency event or propagating the local dynamic map of a predefined region. Dissemination of warning information up to a longer distance can reduce the accidents on the road. It provides a driver additional time to react to the situations adequately and assists in finding a safe route towards the destination. The adopted V2X standards, ETSI TS’s C-ITS and IEEE 1609/IEEE 802.11p, specify only primitive multi-hop message dissemination schemes. IEEE 1609.4 standard disseminates the broadcast messages using the method of flooding, which causes high redundancy, severe congestion, and long delay during multi-hop propagation. To address these problems, we propose an effective broadcast message dissemination method. It introduces a notion of source Lateral Crossing Line (LCL) algorithm, which elects a set of relay vehicles for each hop based on the vehicle locations in a way that reduces the redundant retransmission and congestion, consequently minimizing the delays. Our simulation results demonstrated that the proposed method can achieve about 15% reduction in delays and 2 times the enhancement in propagation distance compared with the previous methods.

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3622 ◽  
Author(s):  
Jin-Woo Kim ◽  
Jae-Wan Kim ◽  
Dong-Keun Jeon

Vehicular ad hoc networks (VANETs) provide information and entertainment to drivers for safe and enjoyable driving. Wireless Access in Vehicular Environments (WAVE) is designed for VANETs to provide services efficiently. In particular, infotainment services are crucial to leverage market penetration and deployment costs of the WAVE standard. However, a low presence of infrastructure results in a shadow zone on the road and a link disconnection. The link disconnection is an obstacle to providing safety and infotainment services and becomes an obstacle to the deployment of the WAVE standard. In this paper, we propose a cooperative communication protocol to reduce performance degradation due to frequent link disconnection in the road environment. The proposed protocol provides contention-free data delivery by the coordination of roadside units (RSUs) and can provide the network QoS. The proposed protocol is shown to enhance throughput and delay through the simulation.


Author(s):  
Muhammad A. Javed ◽  
Jamil Y. Khan

Vehicular ad hoc networks (VANETs) are expected to be used for the dissemination of emergency warning messages on the roads. The emergency warning messages such as post crash warning notification would require an efficient multi hop broadcast scheme to notify all the vehicles within a particular area about the emergency. Such emergency warning applications have low delay and transmission overhead requirements to effectively transmit the emergency notification. In this paper, an adaptive distance based backoff scheme is presented for efficient dissemination of warning messages on the road. The proposed scheme adaptively selects the furthest vehicle as the next forwarder of the emergency message based on channel conditions. The detailed performance figures of the protocol are presented in the paper using simulations in the OPNET network simulator. The proposed protocol introduces lower packet delay and broadcast overhead as compared to standard packet broadcasting protocols for vehicular networks.


2021 ◽  
Vol 13 (3) ◽  
pp. 68
Author(s):  
Steven Knowles Flanagan ◽  
Zuoyin Tang ◽  
Jianhua He ◽  
Irfan Yusoff

Dedicated Short-Range Communication (DSRC) or IEEE 802.11p/OCB (Out of the Context of a Base-station) is widely considered to be a primary technology for Vehicle-to-Vehicle (V2V) communication, and it is aimed toward increasing the safety of users on the road by sharing information between one another. The requirements of DSRC are to maintain real-time communication with low latency and high reliability. In this paper, we investigate how communication can be used to improve stopping distance performance based on fieldwork results. In addition, we assess the impacts of reduced reliability, in terms of distance independent, distance dependent and density-based consecutive packet losses. A model is developed based on empirical measurements results depending on distance, data rate, and traveling speed. With this model, it is shown that cooperative V2V communications can effectively reduce reaction time and increase safety stop distance, and highlight the importance of high reliability. The obtained results can be further used for the design of cooperative V2V-based driving and safety applications.


Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1728
Author(s):  
Odilbek Urmonov ◽  
HyungWon Kim

To ensure the driving safety in vehicular network, it is necessary to construct a local dynamic map (LDM) for an extended range. Using the standard vehicular communication protocols, however, vehicles can construct the LDM for only one-hop range. Constructing large-scale LDM is highly challenging because vehicles randomly change their position. This paper proposes a dynamic map propagation (DMP) method, which builds a large aggregated LDM data using a multi-hop communication. To reduce the data overhead, we introduce an efficient clustering method based on a half-circle of the forwarder’s wireless range. The DMP elects one forwarder per cluster, which constructs LDM and forwards it to a neighbor cluster. The inter-cluster interference is minimized by allocating a different transmit window to each cluster. DMP copes with a dynamic environment by frequently re-electing the forwarders and their associated transmission windows. Simulation results reveal that DMP enhances the forwarders’ reception ratio by 20%, while extending LDM dissemination range by 29% over a previous work.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chandramohan D. ◽  
Ankur Dumka ◽  
Dhilipkumar V. ◽  
Jayakumar Loganathan

Purpose This paper aims to predict the traffic and helps to find a solution. Unpredictable traffic leads more vehicles on the road. The result of which is one of the factors that aggravate traffic congestion. Traffic congestion occurs when the available transport resources are less when compared to the number of vehicles that share the resource. As the number of vehicles increases the resources become scarce and congestion is more. Design/methodology/approach The population of the urban areas keeps increasing as the people move toward the cities in search of jobs and a better lifestyle. This leads to an increase in the number of vehicles on the road. However, the transport network, which is accessible to the citizens is less when compared to their demand. Findings The demand for resources is higher than the actual capacity of the roads and the streets. There are some circumstances, which will aggravate traffic congestion. The circumstances can be the road condition (pot holes and road repair), accidents and some natural calamities. Originality/value There is a lot of research being done to predict the traffic and model it to find a solution, which will make the condition better. However, still, it is an open issue. The accuracy of the predictions done is less.


2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Chanhyuk Cho ◽  
Sanghyun Ahn

Thanks to the vehicular communication network, vehicles on the road can communicate with other vehicles or nodes in the global Internet. In this study, we propose an enhanced routing mechanism based on AODV so that road side units (RSUs) can provide continuous services such as video streaming services to vehicles which may be intermittently located outside of the coverage areas of RSUs. In the highway environment with sparsely placed RSUs, the communications between RSUs and vehicles are frequently disconnected due to high vehicular speeds. To resolve this problem, both V2I and V2V communications are utilized. In order to reduce the route recovery time and the number of route failures in the sparsely placed RSU environment, backup routes are established through the vehicles with longer direct communication duration with the RSU. The backup route substitutes the main route upon route disconnection. Also, for the efficient handover to the next RSU, the route shortening mechanism is proposed. For the performance evaluation of the proposed mechanism, we carried out the NS-3-based simulations.


Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4251 ◽  
Author(s):  
Dun Cao ◽  
Bin Zheng ◽  
Jin Wang ◽  
Baofeng Ji ◽  
Chunhai Feng

Employment of a relay node can extend the coverage of a message in vehicular networks (VNET). In addition, the prior information regarding the road structure, which determines the structure of VNET, can benefit relay-node selection. However, the non-line-of-sight (NLOS) communication in the intersection scenarios and diverse shapes for the intersection hamper the design of a general relay-node selection on intersection. To resolve this problem, in this paper, we build a model to describe the general intersection, and propose a general relay-node selection method on intersection. Additionally, based on our mathematical description of the general intersection, the performance models for the general relay-node selection on the intersection are first explored in terms of message dissemination speed and Packet Delivery Ratio (PDR). The simulation results validate these models and indicate the improvement of our proposal, especially in heavy traffic. The improvement includes, at the high density of 3.0025 vehicles/m, the huge gain of up to 23.35% in terms of message dissemination speed than that of other compared methods and PDR of over 90%.


Author(s):  
Kevin Collins ◽  
Gabriel-Miro Muntean

Traffic congestion is a major issue in the modern society, and unfortunately, it continues to worsen as the number of cars on the road grows behind the ability of existing road infrastructures to cope. Additionally, vehicle fuel consumption and gas emissions are increasing, and concentrated efforts to propose solutions to reduce these and consequently the pollution are needed. In this context, this chapter presents TraffCon, an innovative vehicle route management solution, which makes use of a novel best route selection algorithm for vehicular traffic routing and of vehicular wireless communications to reduce not only journey times but also fuel consumption and as a direct consequence vehicle gas emissions. The chapter shows how TraffCon can be supported by an IEEE 802.11p sparse roadside-vehicle network with very good results in comparison with classic approaches.


Author(s):  
Komathy K.

Vehicular Ad Hoc Networks (VANET) is an emerging application of Intelligent Transport System, which is mainly to assist public safety applications such as collision avoidance between the vehicles or between vehicles and other obstacles such as pedestrians. At the same time, it challenges the data communication because of its high mobility, short link lifetime, and frequent network fragmentations. Existing spectrum standard for vehicular communication underutilizes the frequency bands in the sparsely used regions when the licensed users are not deploying them even at the peak hours of the road. Congestion or route stalling is unavoidable in vehicular networking and this builds an impression that there is always a shortage of spectrum. A solution would be to have a cognitive radio that can utilize the spectrum that is not heavily used so as to ease congestion in other areas. This chapter brings out the application of cognitive radios in vehicular environments, a new and relatively less explored area of research. This chapter looks into a few existing studies in the literature which have focused on spectrum sensing techniques, routing methodology, and security for cognitive radio vehicular networks. In addition, this chapter also discusses the impact of changes in the vehicular network on the radio propagation channel and in turn on the operation and performance of the cognitive radio vehicular network. Finally, future directions in research have highlighted the existing challenges in specific areas.


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