Internet of Vehicles: An Introduction

Sadiku, Matthew N. O.; Tembely, Mahamadou; Musa, Sarhan M.

doi:10.23956/ijarcsse.v8i1.512

Cited by 57 publications

(29 citation statements)

References 3 publications

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“…The term, Internet of things, was first coined by Kevin Ashton, a British entrepreneur in 1999. He meant to represent the concept of computers and machines with sensors, which are connected to the Internet to report status and accept control commands [4].…”

Section: Iot Basicsmentioning

confidence: 99%

Industrial Internet of Things

2017

IJASRE

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Section: Iot Basicsmentioning

confidence: 99%

Industrial Internet of Things

2017

IJASRE

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“…The Internet and drones in specific are also related in [ 19 , 20 ] as Internet of Drones (IoD). Finally, all the vehicles may also communicate between them through the Internet, which is described as the Internet of Vehicles (IoV) [ 21 ]. To the best of our knowledge, there are no mentions about a concept that interconnects different UV types (i.e., terrestrial, aquatic, aerial).…”

Section: Introductionmentioning

confidence: 99%

Distributed Architecture for Unmanned Vehicle Services

Ramos

Ribeiro

Safadinho

et al. 2021

Sensors

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The demand for online services is increasing. Services that would require a long time to understand, use and master are becoming as transparent as possible to the users, that tend to focus only on the final goals. Combined with the advantages of the unmanned vehicles (UV), from the unmanned factor to the reduced size and costs, we found an opportunity to bring to users a wide variety of services supported by UV, through the Internet of Unmanned Vehicles (IoUV). Current solutions were analyzed and we discussed scalability and genericity as the principal concerns. Then, we proposed a solution that combines several services and UVs, available from anywhere at any time, from a cloud platform. The solution considers a cloud distributed architecture, composed by users, services, vehicles and a platform, interconnected through the Internet. Each vehicle provides to the platform an abstract and generic interface for the essential commands. Therefore, this modular design makes easier the creation of new services and the reuse of the different vehicles. To confirm the feasibility of the solution we implemented a prototype considering a cloud-hosted platform and the integration of custom-built small-sized cars, a custom-built quadcopter, and a commercial Vertical Take-Off and Landing (VTOL) aircraft. To validate the prototype and the vehicles’ remote control, we created several services accessible via a web browser and controlled through a computer keyboard. We tested the solution in a local network, remote networks and mobile networks (i.e., 3G and Long-Term Evolution (LTE)) and proved the benefits of decentralizing the communications into multiple point-to-point links for the remote control. Consequently, the solution can provide scalable UV-based services, with low technical effort, for anyone at anytime and anywhere.

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“…e Internet of vehicle concept is the integration of IoT and Internet access for vehicles. For the motor industry, this is an emerging sector and an essential part of new technologies [5]. Today, IoT also makes it possible to connect cars, houses, and other objects equipped with sensors, electronic controls, and access points.…”

Section: Introductionmentioning

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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Internet of Vehicles: An Introduction

Cited by 57 publications

References 3 publications

Industrial Internet of Things

Industrial Internet of Things

Distributed Architecture for Unmanned Vehicle Services

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

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