Supporting augmented floating car data through smartphone-based crowd-sensing

Briante, Orazio; Campolo, Claudia; Molinaro, Antonella; Paratore, Stefano Yuri; Ruggeri, Giuseppe

doi:10.1016/j.vehcom.2014.08.002

Cited by 20 publications

(11 citation statements)

References 22 publications

(43 reference statements)

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“…temperature, humidity, pressure, etc.) and the pollution levels [1]. The information collected, although valuable might be affected by a poor quality or may be maliciously corrupted by rogue vehicles to some purpose.…”

Section: Background and Motivationsmentioning

confidence: 99%

See 1 more Smart Citation

Social Structure Analysis in Internet of Vehicles

Loscrì

Ruggeri

Vegni

et al. 2018

2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)

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Section: Background and Motivationsmentioning

confidence: 99%

“…Vehicular communications are a key enabler for many automotive applications. As an instance, we may enumerate safety related operations, predictive maintenance, crowdsourcing, and many others [1].…”

Section: Introductionmentioning

confidence: 99%

Social Structure Analysis in Internet of Vehicles

Loscrì

Ruggeri

Vegni

et al. 2018

2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)

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“…The aforementioned taxonomy of applications is too ossified for the IoV, which is expected to encompass novel applications specifically emerging with vehicles becoming multi-faceted elements (equipped with cameras, sensors [15], radars, storage, processing [4] and positioning capabilities [16,17]) of smart and connected cities able to interact also with nearby/remote people and objects [18,19].…”

Section: Towards Iov Applicationsmentioning

confidence: 99%

“…[27] 58 µs Topology: To create a realistic road layout, we used maps publicly available from the OpenStreetMap (OSM) project [39] and combined them with realistic vehicular mobility traces derived from SUMO [36]. In particular, similarly to [15], a map of the city of Rome has been chosen; the map has a size of nearly 3.2 × 1.7 km 2 ; see Figure 6. The positions of public Wi-Fi APs deployed in an urban area are available from [40], and have been used to resemble the position of 802.11 OCB RSUs.…”

Section: Simulation Settingsmentioning

confidence: 99%

Priority-Based Content Delivery in the Internet of Vehicles through Named Data Networking

Amadeo

Campolo

Molinaro

2016

JSAN

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Named Data Networking (NDN) has been recently proposed as a prominent solution for content delivery in the Internet of Vehicles (IoV), where cars equipped with a variety of wireless communication technologies exchange information aimed to support safety, traffic efficiency, monitoring and infotainment applications. The main NDN tenets, i.e., name-based communication and in-network caching, perfectly fit the demands of time-and spatially-relevant content requested by vehicles regardless of their provenance. However, existing vehicular NDN solutions have not been targeted to wisely ensure prioritized traffic treatment based on the specific needs of heterogeneous IoV content types. In this work, we propose a holistic NDN solution that, according to the demands of data traffic codified in NDN content names, dynamically shapes the NDN forwarding decisions to ensure the appropriate prioritization. Specifically, our proposal first selects the outgoing interface(s) (i.e., 802.11, LTE) for NDN packets and then properly tunes the timing of the actual transmissions. Simulation results show that the proposed enhancements succeed in achieving differentiated traffic treatment, while keeping traffic load under control.

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“…Em (BRIANTE et al, 2014), os autores desenvolveram uma plataforma de VCS, chamada de SMARTphone-based floating CAR data collection (SmartCar), para a aquisição de FCD a fim de apoiar aplicações de ITS ( e.g., de monitoramento do tráfego, de sugestão de rota e de detecção de congestionamento). Na proposta apresentada, os autores especificaram prioridades para o encaminhamento dos dados para o centro de monitoramento: (i) prioridade alta, para aqueles dados sensíveis a atrasos da ordem de milissegundos; (ii) prioridade média, para dados que suportam atrasos da ordem de segundos ou minutos; e (iii) prioridade baixa, para dados que apresentam sensibilidade de atraso da ordem de horas ou até mesmo dias.…”

Section: Baseadas No Uso De Aps Wi-fiunclassified

Uso de comunicação V2V para o descarregamento de dados em redes celulares: uma estratégia baseada em clusterização geográca para apoiar o sensoriamento veicular colaborativo

Nunes¹

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Primeiramente a Deus, essa energia suprema que sempre me deu a tranquilidade de espírito necessária para alcançar meus objetivos.Aos meus pais Maria Lúcia de Sousa Nunes e Antônio Silvério Nunes que, embora não estejam fisicamente mais aqui comigo, me acompanham sempre in memoriam. Vocês sempre foram grandes exemplos de força e superação. A minha gratidão é imensa e eterna. Estejam com Deus! À minha querida irmã Daniella. Um ponto de apoio essencial durante toda a minha jornada nesse curso de doutorado. À minha estimada esposa Jaqueline Piva. Obrigado pelo amor, carinho, paciência, compreensão e incentivos. Sou muito mais forte porque tenho você ao meu lado. À minha segunda família do coração, José Afonso Piva, Célia Piva, Guilherme e Renata. Muito obrigado pelos momentos em que estiveram comigo, me fazendo levantar a cabeça e seguir em frente.De maneira muito especial ao meu orientador professor Dr. Edson dos Santos Moreira, pelo acolhimento no ICMC/USP e pela enorme atenção e dedicação para com seus orientandos. Você é um ser humano diferenciado, com uma capacidade de empatia enorme e de uma humildade admirável. Obrigado pela oportunidade que me deu de poder conviver com você durante esses anos.Aos colegas do grupo de pesquisa: Luz Marina, João Batista, Wellington Junior e Kifayat Ullah; do laboratório Intermídia e do curso de doutorado. Foram ótimos os momentos de companheirismo e de trocas de experiências e conhecimentos. Ao Instituto Federal de Educação, Ciência e Tecnologia do Sul de Minas Gerais (IFSUL-DEMINAS) e ao Instituto de Ciências Matemáticas e Computacionais da Universidade de São Paulo (ICMC/USP) pelos valorosos apoios concedidos. Enfim, a todos que, de alguma forma, contribuíram para a realização desse trabalho. "A mente que se abre a uma nova ideia jamais voltará ao seu tamanho original." (Albert Einstein) Palavras-chave: Descarregamento de dados móveis, sensoriamento veicular colaborativo, redes veiculares, clusterização veicular geográfica, VANET.. ABSTRACT NUNES, D. F. S. On the use of V2V communication for cellular data offloading: a geographic clustering-based strategy to support vehicular crowdsensing. 2019. 122 p. Tese (Doutorado em Ciências -The incorporation of computing and communication technologies into modern vehicles is enabling a new generation of connected cars. With the ability to get into a network formation, in the so-called ad hoc networks (VANETs), these vehicles might, in the near future, (i) make the traffic safer for drivers, passengers and pedestrians and/or (ii) promote a more pleasant transportation experience, with greater comfort. It is in this context that emerges the Vehicle CrowdSensing (VCS), a novel and promising paradigm for performing in loco data collection from the vehicles embedded technologies. VCS has proved to be an auspicious scheme for the development and deployment of the Intelligent Transport Systems (ITSs). However, in large urban areas, depending on the phenomenon to be monitored, the VCS applications can generate a colossal data traffic between ve...

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Supporting augmented floating car data through smartphone-based crowd-sensing

Cited by 20 publications

References 22 publications

Social Structure Analysis in Internet of Vehicles

Social Structure Analysis in Internet of Vehicles

Priority-Based Content Delivery in the Internet of Vehicles through Named Data Networking

Uso de comunicação V2V para o descarregamento de dados em redes celulares: uma estratégia baseada em clusterização geográca para apoiar o sensoriamento veicular colaborativo

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