Toward Reliable and Scalable Internet of Vehicles: Performance Analysis and Resource Management

Ni, Yuanzhi; Cai, Lin; He, Jianping; Vinel, Alexey; Li, Yue; Mosavat-Jahromi, Hamed; Pan, Jianping

doi:10.1109/jproc.2019.2950349

Cited by 71 publications

(20 citation statements)

References 38 publications

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“…More dynamic research for measuring the IOV through modern multidimensional categories includes an ad-hoc network of vehicles, smartphone networks, intervehicle network, intravehicle network, and network with beyond vehicle [39]. In contrast, a study as investigated by Ni et al [40] argued about the measurement of the Internet of the vehicle under the dimensions of driver-assisted to automatic vehicles. Finally, a block-chain based system of the Internet of the vehicle can be more efficient in terms of information privacy concern for the transport context [41].…”

Section: Concern For the Internet Of Vehicle Information Privacy (Cfiovip)mentioning

confidence: 99%

Governance in the Internet of Vehicles (IoV) Context: Examination of Information Privacy, Transport Anxiety, Intention, and Usage

Hussain¹,

Kamarudin

Sanusi

et al. 2021

Journal of Advanced Transportation

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This study examines the validity and acceptability of concern for information privacy with the Internet of vehicle context. For this purpose, the exploratory and confirmatory analysis processes were performed for testing the validity of concern for the Internet of vehicle information privacy. A total number of 357 responses were received online which were complete in all respects from college and university students studying information system course at undergraduate and graduate level. The estimated results obtained from exploratory and confirmatory factor analysis revealed that 3-dimension construct containing collection, error, and information accuracy measuring governance for Internet of vehicle information privacy (CFIOVIP) was validated through second order construction with strong goodness-of-fit estimates. The relevant factors were reliable and valid as per their internal and external validity estimates of Cronbach Alpha, average variance extracted, composite reliability, discriminant validity, and factor loading values including their fitness indices for 16 items for 3-dimension construct of CFIOVIP. The findings of the study indicate that Internet of vehicle users view secondary usage of information and unauthorised access of information as the same dimension with the title of information access for measuring CFIOVIP along with two other constructs like collection and error in information for the Internet of vehicle context. The study recommends a 2nd order CFIOVIP construct based on three dimensions, namely, collection, error, and information access, for testing the present governance of the Internet of vehicles.

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Section: Concern For the Internet Of Vehicle Information Privacy (Cfiovip)mentioning

confidence: 99%

Governance in the Internet of Vehicles (IoV) Context: Examination of Information Privacy, Transport Anxiety, Intention, and Usage

Hussain¹,

Kamarudin

Sanusi

et al. 2021

Journal of Advanced Transportation

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“…Internet of Vehicles (IoV) [1][2][3][4] or connected vehicles is a recent research venue that allows the development of many promising applications in Smart Cities [5][6][7] based on the Intelligent Transportation Systems (ITS). IoV [8] will be deployed widely in Smart Cities.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Traffic Management System Based on the Internet of Vehicles (IoV)

Mohamed

Al-Shalfan

2021

Journal of Advanced Transportation

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The present era is marked by rapid improvement and advances in technology. One of the most essential areas that demand improvement is the traffic signal, as it constitutes the core of the traffic system. This demand becomes stringent with the development of Smart Cities. Unfortunately, road traffic is currently controlled by very old traffic signals (tri-color signals) regardless of the relentless effort devoted to developing and improving the traffic flow. These traditional traffic signals have many problems including inefficient time management in road intersections; they are not immune to some environmental conditions, like rain; and they have no means of giving priority to emergency vehicles. New technologies like Vehicular Ad-hoc Networks (VANET) and Internet of Vehicles (IoV) enable vehicles to communicate with those nearby and with a dedicated infrastructure wirelessly. In this paper, we propose a new traffic management system based on the existing VANET and IoV that is suitable for future traffic systems and Smart Cities. In this paper, we present the architecture of our proposed Intelligent Traffic Management System (ITMS) and Smart Traffic Signal (STS) controller. We present local traffic management of an intersection based on the demands of future Smart Cities for fairness, reducing commute time, providing reasonable traffic flow, reducing traffic congestion, and giving priority to emergency vehicles. Simulation results showed that the proposed system outperforms the traditional management system and could be a candidate for the traffic management system in future Smart Cities. Our proposed adaptive algorithm not only significantly reduces the average waiting time (delay) but also increases the number of serviced vehicles. Besides, we present the implemented hardware prototype for STS.

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“…Hence, we observe a growing trend towards smart mobility via sensor enabled vehicles towards transforming today's traffic environment. As the number of wireless connected devices and vehicles within our transportation systems continue to increase [4], certain technical challenges, with respect to reliable and scalable wireless transmissions for IoV are becoming more apparent [5]. Large amounts of information is generated within the network [1], [5], [6], sometimes up to thousands of times of that by a person.…”

mentioning

confidence: 99%

“…As the number of wireless connected devices and vehicles within our transportation systems continue to increase [4], certain technical challenges, with respect to reliable and scalable wireless transmissions for IoV are becoming more apparent [5]. Large amounts of information is generated within the network [1], [5], [6], sometimes up to thousands of times of that by a person. Vehicle density is also highly dynamic over space and time [5], with different urgency requirements for information exchange.…”

mentioning

confidence: 99%

“…Large amounts of information is generated within the network [1], [5], [6], sometimes up to thousands of times of that by a person. Vehicle density is also highly dynamic over space and time [5], with different urgency requirements for information exchange. These practical realities bring about interference concerns within the shared spectrum and bring forth an even greater need for securing all aspects of the network.…”

mentioning

confidence: 99%

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Toward Physical-Layer Security for Internet of Vehicles: Interference-Aware Modeling

Makarfi

Rabie

Kaiwartya

et al. 2021

IEEE Internet Things J.

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The physical layer security (PLS) of wireless networks has witnessed significant attention in next generation communication systems due to its potential towards enabling protection at signal level in dense network environments. The growing trends towards smart mobility via sensor enabled vehicles is transforming today's traffic environment into Internet of Vehicles (IoVs). Enabling PLS for IoVs would be a significant development considering the dense vehicular network environment in the near future. In this context, this paper presents a PLS framework for a vehicular network consisting a legitimate receiver and an eavesdropper, both under the effect of interfering vehicles. The double-Rayleigh fading channel is used to capture the effect of mobility within the communication channel. The performance is analyzed in terms of the average secrecy capacity (ASC) and secrecy outage probability (SOP). We present the standard expressions for the ASC and SOP in alternative forms, to facilitate analysis in terms of the respective moment generating function (MGF) and characteristic function of the joint fading and interferer statistics. Closed-form expressions for the MGFs and characteristic functions were obtained and Monte Carlo simulations were provided to validate the results. Approximate expressions for the ASC and SOP were also provided, for easier analysis and insight into the effect of the network parameters. The results attest that the performance of the considered system was affected by the number of interfering vehicles as well as their distances. It was also demonstrated that the system performance closely correlates with the uncertainty in the eavesdropper's vehicle location.

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Toward Reliable and Scalable Internet of Vehicles: Performance Analysis and Resource Management

Cited by 71 publications

References 38 publications

Governance in the Internet of Vehicles (IoV) Context: Examination of Information Privacy, Transport Anxiety, Intention, and Usage

Governance in the Internet of Vehicles (IoV) Context: Examination of Information Privacy, Transport Anxiety, Intention, and Usage

Intelligent Traffic Management System Based on the Internet of Vehicles (IoV)

Toward Physical-Layer Security for Internet of Vehicles: Interference-Aware Modeling

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