A 5G V2X Ecosystem Providing Internet of Vehicles

Storck, Carlos Renato; Duarte-Figueiredo, Fátima de L. P.

doi:10.3390/s19030550

Cited by 113 publications

(73 citation statements)

References 31 publications

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“…Another important future research aspect is robustness and reliability of the wireless backhaul network. Emerging cyber-physical systems, such as medical devices that provide critical diagnostics and continuous therapeutic interventions to humans going about their daily lives [100] as well as networked vehicular systems [101][102][103], such as the transportation systems in smart cities, require uninterrupted connectivity with high quality of service levels. Wireless backhaul networks need multiple redundant connectivity paths that provide fail-over functionalities in case of failures [104][105][106].…”

Section: Discussionmentioning

confidence: 99%

A Multi-Layer Multi-Timescale Network Utility Maximization Framework for the SDN-Based LayBack Architecture Enabling Wireless Backhaul Resource Sharing

et al. 2019

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With the emergence of small cell networks and fifth-generation (5G) wireless networks, the backhaul becomes increasingly complex. This study addresses the problem of how a central SDN orchestrator can flexibly share the total backhaul capacity of the various wireless operators among their gateways and radio nodes (e.g., LTE enhanced Node Bs or Wi-Fi access points). In order to address this backhaul resource allocation problem, we introduce a novel backhaul optimization methodology in the context of the recently proposed LayBack SDN backhaul architecture. In particular, we explore the decomposition of the central optimization problem into a layered dual decomposition model that matches the architectural layers of the LayBack backhaul architecture. In order to promote scalability and responsiveness, we employ different timescales, i.e., fast timescales at the radio nodes and slower timescales in the higher LayBack layers that are closer to the central SDN orchestrator. We numerically evaluate the scalable layered optimization for a specific case of the LayBack backhaul architecture with four layers, namely a radio node (eNB) layer, a gateway layer, an operator layer, and central coordination in an SDN orchestrator layer. The coordinated sharing of the total backhaul capacity among multiple operators lowers the queue lengths compared to the conventional backhaul without sharing among operators.

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Section: Discussionmentioning

confidence: 99%

A Multi-Layer Multi-Timescale Network Utility Maximization Framework for the SDN-Based LayBack Architecture Enabling Wireless Backhaul Resource Sharing

et al. 2019

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“…The development of Fifth Generation (5G) networks made the internet ubiquitous Internet and the growth of new applications possible. This is also possible in VANET by internet of vehicles (IoV) communication that uses network infrastructure to allow cars to be connected to new radio technologies [84]. It is worth noting that the proposals reviewed in this article have tested by using DSRC framework.…”

Section: Vanet Integration With Other Technologiesmentioning

confidence: 99%

Survey on Routing Protocols for Vehicular Ad Hoc Networks Based on Multimetrics

et al. 2019

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In the last few years, many routing protocols have been proposed for vehicular ad hoc networks (VANETs) because of their specific characteristics. Protocols that use several metrics have been shown to be the most adequate to VANETs due to their effectiveness in dealing with dynamic environment changes due to vehicle mobility. Metrics such as distance, density, link stability, speed, and position were selected by the authors for the best proposal. Several surveys of routing proposals have been generated to categorize contributions and their application scenarios, but none of them focused on multimetric approaches. In this paper, we present a review of the routing protocols based on more than one metric to select the best route in a VANET. The main objective of this research was to present the contemporary most frequently used metrics in the different proposals and their application scenarios. This review helps in the selection protocols or the creation of metrics when a new protocol is designed.This survey of multimetric VANET routing protocols employed systematic literature-review (SLR) methodology in four well-knownown databases that allowed to analyze current state-of-the-art proposals. In addition, this paper provides a description of these multimetric routing protocols. Our findings indicate that distance and speed are the most popular and versatile metrics. Finally, we define some possible directions for future research related to the use of this class of protocols.

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“…The algorithm selects the split that gives the most pure subsets, using the concept of Impurity, which is the corresponding decision boundary that terminates the recursive split of the original data set. The classification tree splits the k th subset D k into l sub-sets (line 10) and selects the attribute that produces the minimum Impurity (lines [11][12][13][14][15][16]. This procedure is repeated recursively until the majority is reached (lines 21-23), which is the minimum purity threshold that is accepted for a node.…”

Section: Data Analysis For Road Condition Estimationmentioning

confidence: 99%

“…The impact of vehicle connectivity is considered crucial in terms of vehicle safety and, for that reason, the National Highway Traffic Safety Administration (NHTSA) of the USA expects that every new car will be equipped with connectivity capabilities after year 2020 [12]. Thus, smart cars are becoming the most sophisticated entity in the Internet of Things (IoT) era, hence they prevail as a replacement to modern cars introducing the era of Internet of Vehicles [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Environmental-Based Speed Recommendation for Future Smart Cars

et al. 2019

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Modern vehicles are enhanced with increased computation, communication and sensing capabilities, providing a variety of new features that pave the way for the deployment of more sophisticated services. Specifically, smart cars employ hundreds of sensors and electronic systems in order to obtain situational and environmental information. This rapid growth of on-vehicle multi-sensor inputs along with off-vehicle data streams introduce the smart car era. Thus, systematic techniques for combining information provided by on- and off-vehicle car connectivity are of remarkable importance for the availability and robustness of the overall system. This paper presents a new method to employ service oriented agents that cohesively align on- and off-vehicle information in order to estimate the current status of the car. In particular, this work combines, integrates, and evaluates multiple information sources targeting future smart cars. Specifically, the proposed methodology leverages weather-based, on-route, and on-vehicle information. As a use case, the presented work informs the driver about the recommended speed that the car should adapt to, based on the current status of the car. It also validates the proposed speed with real-time vehicular measurements.

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A 5G V2X Ecosystem Providing Internet of Vehicles

Cited by 113 publications

References 31 publications

A Multi-Layer Multi-Timescale Network Utility Maximization Framework for the SDN-Based LayBack Architecture Enabling Wireless Backhaul Resource Sharing

A Multi-Layer Multi-Timescale Network Utility Maximization Framework for the SDN-Based LayBack Architecture Enabling Wireless Backhaul Resource Sharing

Survey on Routing Protocols for Vehicular Ad Hoc Networks Based on Multimetrics

Environmental-Based Speed Recommendation for Future Smart Cars

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