Geographic information-based Data Transmission and Cooperative Communication for Vehicular Networks

2020 ◽  
Vol 1 (1) ◽  
pp. 27-34
Author(s):  
Abdul Rahim ◽  
Dr. V.A.Sankar Ponnapalli
Keyword(s):  
Energy Consumption ◽  
Cooperative Communication ◽  
Vehicular Networks ◽  
Data Communication ◽  
Vehicular Network ◽  
Vehicular Communication ◽  
Automobile Engineering ◽  
Communication Techniques ◽  
Close Relationship ◽  
Transmission Energy Consumption

With the advancements in Vehicular communication technologies in automobile engineering leads to enhancement of modern societies by utilizing Internet based data communication in a vehicular network to effectively avoid accidents and traffic congestions using Multi Input Multi Output (MIMO) cooperative relay technique for enhancing the aspects of performance by reduction of transmission energy consumption by taking the advantage of spatial and temporal diversity gain in a vehicular network as the conventional routing based on topology is merely not suitable over a dynamic vehicular network environment as GPS is used to identify effective route [4].In this paper we propose applications of cooperative communication techniques and their survey for identifying close relationship between forwarding and addressing techniques in a vehicular network and further we compare performance and energy consumption of cooperative techniques with the traditional multi-hop technique over Rayleigh channel using MQAM for optimization.

Geographic information-based Data Transmission and Cooperative Communication for Vehicular Networks

2020 ◽  
Vol 1 (1) ◽  
pp. 27-34
Author(s):  
Abdul Rahim ◽  
Dr. V.A.Sankar Ponnapalli
Keyword(s):  
Energy Consumption ◽  
Cooperative Communication ◽  
Vehicular Networks ◽  
Data Communication ◽  
Vehicular Network ◽  
Vehicular Communication ◽  
Automobile Engineering ◽  
Communication Techniques ◽  
Close Relationship ◽  
Transmission Energy Consumption

With the advancements in Vehicular communication technologies in automobile engineering leads to enhancement of modern societies by utilizing Internet based data communication in a vehicular network to effectively avoid accidents and traffic congestions using Multi Input Multi Output (MIMO) cooperative relay technique for enhancing the aspects of performance by reduction of transmission energy consumption by taking the advantage of spatial and temporal diversity gain in a vehicular network as the conventional routing based on topology is merely not suitable over a dynamic vehicular network environment as GPS is used to identify effective route [4].In this paper we propose applications of cooperative communication techniques and their survey for identifying close relationship between forwarding and addressing techniques in a vehicular network and further we compare performance and energy consumption of cooperative techniques with the traditional multi-hop technique over Rayleigh channel using MQAM for optimization.

Application of Cognitive Radio in VANET

2013 ◽  
pp. 289-314
Author(s):  
Komathy K.
Keyword(s):  
Cognitive Radio ◽  
Vehicular Networks ◽  
Vehicular Ad Hoc Networks ◽  
Data Communication ◽  
High Mobility ◽  
Vehicular Network ◽  
Vehicular Communication ◽  
The Road ◽  
And Performance ◽  
Hoc Networks

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.

scholarly journals Visual-MIMO for Software-Defined Vehicular Networks

2018 ◽  
Vol 7 (4.4) ◽  
pp. 13
Author(s):  
Tae Ho Kwon ◽  
Jai Eun Kim ◽  
Ki Soo An ◽  
Rappy Saha ◽  
Ki Doo Kim
Keyword(s):  
Vehicular Networks ◽  
Multiple Input Multiple Output ◽  
Vehicular Network ◽  
Control Plane ◽  
Vehicular Communication ◽  
Efficient Manner ◽  
Communication Performance ◽  
Efficient Management ◽  
Data Plane ◽  
Input Multiple Output

The paradigm of software-defined network (SDN) is being applied to vehicle scenarios in order to eliminate this heterogeneity of vehicular network infrastructure and to manage packet flow in an application- and user-centrically flexible and efficient manner. However, owing to the random mobility of vehicles and the unpredictable road communication environment, efficient vehicle-based SDN development needs further research. In this study, we propose the concept of a sub-control plane for supporting and backing up, at the data plane level, various functions of the control plane, which plays a key role in SDN. The sub-control plane can be intuitively understood through the image processing techniques used in color-independent visual-MIMO (multiple input multiple output) networking, and the function of the control plane can be backed up through various vehicle-based recognition and tracking algorithms under the situation of disconnection between the data plane and the control plane. The proposed sub-control plane is expected to facilitate efficient management of the software-defined vehicular network (SDVN) and improve vehicular communication performance and service quality.  

scholarly journals DRL-Based Intelligent Resource Allocation for Diverse QoS in 5G and toward 6G Vehicular Networks: A Comprehensive Survey

2021 ◽  
Vol 2021 ◽  
pp. 1-21
Author(s):  
Hoa TT. Nguyen ◽  
Minh T. Nguyen ◽  
Hai T. Do ◽  
Hoang T. Hua ◽  
Cuong V. Nguyen
Keyword(s):  
Resource Allocation ◽  
Reinforcement Learning ◽  
Vehicular Networks ◽  
Optimization Problems ◽  
Vehicular Network ◽  
Future Research ◽  
Vehicular Communication ◽  
Real Time System ◽  
Research Directions ◽  
Future Research Directions

The vehicular network is taking great attention from both academia and industry to enable the intelligent transportation system (ITS), autonomous driving, and smart cities. The system provides extremely dynamic features due to the fast mobile characteristics. While the number of different applications in the vehicular network is growing fast, the quality of service (QoS) in the 5G vehicular network becomes diverse. One of the most stringent requirements in the vehicular network is a safety-critical real-time system. To guarantee low-latency and other diverse QoS requirements, wireless network resources should be effectively utilized and allocated among vehicles, such as computation power in cloud, fog, and edge servers; spectrum at roadside units (RSUs); and base stations (BSs). Historically, optimization problems have mostly been investigated to formulate resource allocation and are solved by mathematical computation methods. However, the optimization problems are usually nonconvex and hard to be solved. Recently, machine learning (ML) is a powerful technique to cope with the complexity in computation and has capability to cope with big data and data analysis in the heterogeneous vehicular network. In this paper, an overview of resource allocation in the 5G vehicular network is represented with the support of traditional optimization and advanced ML approaches, especially a deep reinforcement learning (DRL) method. In addition, a federated deep reinforcement learning- (FDRL-) based vehicular communication is proposed. The challenges, open issues, and future research directions for 5G and toward 6G vehicular networks, are discussed. A multiaccess edge computing assisted by network slicing and a distributed federated learning (FL) technique is analyzed. A FDRL-based UAV-assisted vehicular communication is discussed to point out the future research directions for the networks.

Software-Defined Vehicular Networks (SDVN) for Intelligent Transportation Systems (ITS)

2021 ◽  
pp. 305-327
Author(s):  
Rinki Sharma
Keyword(s):  
Intelligent Transportation Systems ◽  
Traffic Management ◽  
Vehicular Networks ◽  
Intelligent Transportation ◽  
Vehicular Network ◽  
Transportation Systems ◽  
Vehicular Communication ◽  
Research Issues ◽  
Open Research

Vehicular communication is going to play a significant role in the future intelligent transportation systems (ITS). Due to the highly dynamic nature of vehicular networks (VNs) and need for efficient real-time communication, the traditional networking paradigm is not suitable for VNs. Incorporating the SDN technology in VNs provides benefits in network programmability, heterogeneity, connectivity, resource utility, safety and security, routing, and traffic management. However, there are still several challenges and open research issues due to network dynamicity, scalability, heterogeneity, interference, latency, and security that need to be addressed. This chapter presents the importance of vehicular communication in future ITS, the significance of incorporating the SDN paradigm in VNs, taxonomy for the role of SDVN, the software-defined vehicular network (SDVN) architecture, and open research issues in SDVN.

Performance Analysis of Energy Efficient Opportunistic Routing Protocols in Wireless Sensor Network

2019 ◽  
Vol 09 ◽  
Author(s):  
Premkumar Chithaluru ◽  
Rajeev Tiwari ◽  
Kamal Kumar
Keyword(s):  
Energy Consumption ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Data Communication ◽  
Opportunistic Routing ◽  
Link Quality ◽  
Delivery Ratio ◽  
Performance Parameters ◽  
Wireless Medium ◽  
Reduce Energy Consumption

Background: Energy Efficient wireless routing has been an area of research particularly to mitigate challenges surrounding performance in category of Wireless Networks. Objectives: The Opportunistic Routing (OR) technique was explored in recent times and exhibits benefits over many existing protocols and can significantly reduce energy consumption during data communication with very limited compromise on performance. Methods : Using broadcasting nature of the wireless medium, OR practices to discourse two foremost issues of variable link quality and unpredictable node agility in constrained WSNs. OR has a potential to reduce delay in order to increase the consistency of data delivery in network. Results : Various OR based routing protocols have shown varying performances. In this paper, a detailed conceptual and experimental analysis is carried out on different protocols that uses OR technique for providing more clear and definitive view on performance parameters like Message Success Rate, Packet Delivery Ratio and Energy Consumption.

scholarly journals Robust Cooperative Communication Optimization for Multi-UAV-Aided Vehicular Networks

2020 ◽  
pp. 1-1
Author(s):  
Songge Zhang ◽  
Jianshan Zhou ◽  
Daxin Tian ◽  
Zhengguo Sheng ◽  
Xuting Duan ◽  
...  
Keyword(s):  
Cooperative Communication ◽  
Vehicular Networks ◽  
Communication Optimization ◽  
Multi Uav

scholarly journals Millimeter Wave Spatial Channel Characterization for Vehicular Communications

Proceedings ◽  
2019 ◽  
Vol 42 (1) ◽  
pp. 64 ◽  
Author(s):  
Fidel Rodríguez-Corbo ◽  
Leyre Azpilicueta ◽  
Mikel Celaya-Echarri ◽  
Peio López-Iturri ◽  
Imanol Picallo ◽  
...  
Keyword(s):  
Millimeter Wave ◽  
Autonomous Vehicles ◽  
Communication Systems ◽  
Vehicular Networks ◽  
Small Scale ◽  
Vehicular Communications ◽  
Next Generation ◽  
Vehicular Communication ◽  
High Definition ◽  
High Data

With the growing demand of vehicle-mounted sensors over the last years, the amount of critical data communications has increased significantly. Developing applications such as autonomous vehicles, drones or real-time high-definition entertainment requires high data-rates in the order of multiple Gbps. In the next generation of vehicle-to-everything (V2X) networks, a wider bandwidth will be needed, as well as more precise localization capabilities and lower transmission latencies than current vehicular communication systems due to safety application requirements; 5G millimeter wave (mmWave) technology is envisioned to be the key factor in the development of this next generation of vehicular communications. However, the implementation of mmWave links arises with difficulties due to blocking effects between mmWave transceivers, as well as different channel impairments for these high frequency bands. In this work, the mmWave channel propagation characterization for V2X communications has been performed by means of a deterministic in-house 3D ray launching simulation technique. A complex heterogeneous urban scenario has been modeled to analyze the different propagation phenomena of multiple mmWave V2X links. Results for large and small-scale propagation effects are obtained for line-of-sight (LOS) and non-LOS (NLOS) trajectories, enabling inter-data vehicular comparison. These analyzed results and the proposed methodology can aid in an adequate design and implementation of next generation vehicular networks.

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