A Relay-Node Selection on Curve Road in Vehicular Networks

Abstract

In vehicular networks, the selection of the relay-node determines the message dissemination through the vehicle-to-vehicle communication. However, the irregular shape of the curve road makes it difficult to design and analyze the relay-node selection on the curve road. In this paper, a relay-node selection on the curve road is first proposed, which aims to fast message delivery and complete coverage of the curve road, namely the complete relay-node selection. Additionally, after defining a metric of the curving rate, the models are constructed to analyze the performances of our proposal in terms of the message dissemination speed and the packet delivery rate. Simulations on a realistic mountain road are conducted. Moreover, the upto-date relay-node selection methods are adapted to suit the scenario of the curve road for the comparison. The results of the simulations prove the validation of the analytic models and the significant performances of our proposal. The attractive benefits include not only the stable performance against the vehicle density in terms of the message dissemination speed and the packet delivery rate but also the improvements of at least 16.20% gain compared with these adapted methods in terms of the message dissemination speed as well as the packet delivery rate of more than 99.7%. INDEX TERMS Relay-node selection, curve road, vehicle-to-vehicle communication, vehicular networks. DUN CAO received the B.S. degree in communication engineering from Central South University, China, in 2001, the M.S. degree in information systems and communications from Hunan University, China, in 2006, and the Ph.D. degree in vehicle engineering from the

ECaD: Energy‐efficient routing in flying ad hoc networks

“…Moreover, ECaD can be also crucial support for terrestrial networks, such as vehicular networks, where the assistance of communicating UAVs is required. For instance, the works in Cao et al proposed two techniques of relay‐node selection with the aim to ensure fast dissemination of messages in a highly dense area and to achieve fast delivery of messages and full coverage of the curving road, respectively. However, important hops can be distinguished in these two techniques, which can be significantly improved by using an aerial UAV network adopting ECaD as a networking model.…”

ARNS: Adaptive Relay-Node Selection Method for Message Broadcasting in the Internet of Vehicles

“…However, EPBP still is suitable for the straight road scenarios. In order to solve the problem, a complete EPBP-based curved road relay-node selection method is proposed in [25]. It implements relay-node selection in curved road scenarios through three modes: the normal selection, the reverse selection, and the double-direction selection.…”

“…Because of the utilization of real-time information, black-burst-based methods exhibit better performance. What is more, the beacon-based methods are prone to consume more bandwidth resources due to the periodical beacons [34][35][36][37][38][39][40], while the black-burst-based methods have few such problems.Currently, most modeling and analysis of the relay-node selection [16][17][18] do not consider the influence of the complex road structure, and the black-burst-based methods [21][22][23][24][25][26] are only applicable to one specific road structure. However, there is usually more than one road structure in real-world Region of Interest (RoI) that messages need to cover; even diverse road structures exist in the communication range of a sender.Therefore, we propose an adaptive relay-node selection method (ARNS) that is based on exponential partition suitable for complex road structures in the real world.…”

“…Currently, most modeling and analysis of the relay-node selection [16][17][18] do not consider the influence of the complex road structure, and the black-burst-based methods [21][22][23][24][25][26] are only applicable to one specific road structure. However, there is usually more than one road structure in real-world Region of Interest (RoI) that messages need to cover; even diverse road structures exist in the communication range of a sender.…”

A novel approach of tensor‐based data missing estimation for Internet of Vehicles

“…The Internet of Vehicles is to develop an intelligent transportation network. This technology needs to be developed based on the characteristics of the vehicle network and wireless sensor network technology 1–6 . With the rapid development of modern sensor technology, communication technology, computer technology, and information technology, intelligent transportation system (ITS) has been gradually applied to China's road traffic management and control, which has become an effective means to improve the safety and convenience of traffic 7–10 .…”