Context-aware heterogeneous V2X communications for connected vehicles

Sepulcre, Miguel; Gozálvez, Javier

doi:10.1016/j.comnet.2018.02.024

Cited by 23 publications

(16 citation statements)

References 9 publications

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“…The study concludes that it is possible to minimize the transmission time if vehicles switch from cellular to WiFi when approaching WiFi access points, but only when vehicles move at low speeds. The authors presented in [15] a network-assisted heterogeneous V2I algorithm designed to improve both the individual and system performance. The selection process takes into account context information such as the position of base stations, the vehicle's route and the travel time.…”

Section: State Of the Artmentioning

confidence: 99%

Heterogeneous V2V Communications in Multi-Link and Multi-RAT Vehicular Networks

Sepulcre

Gozálvez

2021

IEEE Trans. on Mobile Comput.

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Connected and automated vehicles will enable advanced traffic safety and efficiency applications thanks to the dynamic exchange of information between vehicles, and between vehicles and infrastructure nodes. Connected vehicles can utilize IEEE 802.11p for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. However, a widespread deployment of connected vehicles and the introduction of connected automated driving applications will notably increase the bandwidth and scalability requirements of vehicular networks. This paper proposes to address these challenges through the adoption of heterogeneous V2V communications in multi-link and multi-RAT vehicular networks. In particular, the paper proposes the first distributed (and decentralized) context-aware heterogeneous V2V communications algorithm that is technology and application agnostic, and that allows each vehicle to autonomously and dynamically select its communications technology taking into account its application requirements and the communication context conditions. This study demonstrates the potential of heterogeneous V2V communications, and the capability of the proposed algorithm to satisfy the vehicles' application requirements while approaching the estimated upper bound network capacity.

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Section: State Of the Artmentioning

confidence: 99%

Heterogeneous V2V Communications in Multi-Link and Multi-RAT Vehicular Networks

Sepulcre

Gozálvez

2021

IEEE Trans. on Mobile Comput.

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“…on the road and roadside, the real-time information (speed, accelerate, route, etc.) among V2X devices can be collected and shared for data exchanging, automatic piloting and intelligent traffic control [10], [11]. On the other hand, more and smarter sensing devices are deployed in a wider range of applications to monitor various objects, events, and perceptions to achieve the goal of so-called Earth-aware [12]- [16].…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, more and smarter sensing devices are deployed in a wider range of applications to monitor various objects, events, and perceptions to achieve the goal of so-called Earth-aware [12]- [16]. And roadside smart devices (RSDs) refer to a large number of sensing devices with short-range wireless communication on the side of the road [7]- [10], [17]. The work of these sensing devices is monitoring events and sensing environmental features on the side of the road [18]- [21].…”

Section: Introductionmentioning

confidence: 99%

“…The work of these sensing devices is monitoring events and sensing environmental features on the side of the road [18]- [21]. On the other hand, the main task of RSDs is to communicate with mobile vehicles to form a mobile vehicle network [2], [6]- [10], [17].…”

Section: Introductionmentioning

confidence: 99%

“…These technical reasons include: those objects that need to be monitored change their locations from time to time, or sensor devices cannot be deployed due to physical constraints [31], [32]. But mobile vehicular network can play a more important role in the construction of the smart city [2], [6]- [10]. In order to realize the goal of the smart city, it is necessary to deploy a large number of sensing devices in the city to realize the intelligent perception and monitoring of the city.…”

Section: Introductionmentioning

confidence: 99%

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A Cost-Efficient Greedy Code Dissemination Scheme Through Vehicle to Sensing Devices (V2SD) Communication in Smart City

et al. 2019

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Recently, the vehicle-to-everything (V2X) paradigm is attracting more attention from both academia and industry. In the smart city, there are a huge number of roadside smart devices (RSDs) undertaking various sensing and monitoring tasks, and they collect information among V2X devices for various applications. With the software-defined technology applying into RSDs, one of the challenging issues is how to update the software of RSDs in a fast and low-cost way. We argue that recruiting a large number of vehicles to disseminate the update code for such RSDs through vehicle-to-sensing devices communications technology is an effective method. A cost-efficient greedy code mules selection scheme (CGCSS) is proposed to disseminate code to a huge number of RSDs in the smart city. In CGCSS, a task is defined as the process of transmitting the update code from the mobile code station (MCS) to RSD. So, the goal of CGCSS is to recruit an appropriate number of vehicles to finish the tasks with low cost and high coverage. A measure function is proposed to take the historical trajectories and cost into account. Therefore, the vehicles with high task completion possibility and low price will be selected as code mules (CMs). Then, a high-performance MCS deploy scheme (HMDS) is proposed to select the optimized MCS positions according to the movement and frequency of the CMs to optimize the performance of the system. Finally, extensive experiments using the real trajectory dataset have been done. The results show the better performance of CGCSS than the basic greedy code mule select scheme and the random code mules select scheme in terms of completion rate, average price, and cost-performance ratio, and the results confirm the validity of the proposed HMDS as well. INDEX TERMS Vehicle to everything, code dissemination, vehicles as code mules, recruit vehicles, low cost.

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