A Review of Interoperability issues in Internet of Vehicles (IoV)

Hussain, et al. Shaik Mazhar

doi:10.12785/ijcds/080108

Cited by 8 publications

(3 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Internet of Vehicles (IoV) is the cornerstone of vehicle connectivity and aims to improve Intelligent Transportation System (ITS) by integrating data collection, data exchange, data computation and processing [29]. The rapid development of IoV field has triggered a focus on Human Vehicle Interaction (HVI).…”

Section: Interconnection Of Interior Spacementioning

confidence: 99%

Growable design of passenger vehicle interior space based on FAHP and FQFD

Liu,

Chen,

Liang

2024

PLoS ONE

View full text Add to dashboard Cite

The increasingly shortened development cycle of smart vehicles has led to a qualitative shift in the nature of automotive products. Growing spatial design of vehicle interiors can effectively satisfy users’ personalisation preferences and increase their willingness to buy, as well as mitigating the environmental pollution caused by the problem of rapid replacement. Considering the subjectivity and uncertainty of users’ emotional needs, this study adopts the FAHP method to comprehensively analyse and rank the SET series of factors, then combines the grey correlation method with the correlation analysis of the areas related to the interior space of the automobile, constructs the sample of the interior space of the automobile and extracts the kansei words of the space sample. Intentional vocabulary mean scores were calculated to factor analyses through kansei engineering, next the fuzzy QFD quality house was built to make affective semantic design associations and derive design weights, which are then used to guide the design and ultimately realise the design of a dynamic automotive interaction scenario. The results of the study show that the integration of different theories can reduce the uncertainties in accessing users’ emotional needs. At the same time, it can provide systematic guidance for the interaction design of a growable automobile in terms of multiple dimensions of interior space connectivity, spatial layout, and perceptual experience, as well as provide valuable suggestions for the subsequent development of interior spaces.

show abstract

Section: Interconnection Of Interior Spacementioning

confidence: 99%

Growable design of passenger vehicle interior space based on FAHP and FQFD

Liu,

Chen,

Liang

2024

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…In contrast, if all the vehicles require handover, then the TOPSIS has to be performed individual for each vehicle since the parameters differs for each vehicle. The process of routing was performed using Dijkstra algorithm and random relay selection for data forwarding [26], [27]. Quality of service (QoS) parameters were estimated to select a route.…”

Section: The Problemmentioning

confidence: 99%

Artificial intelligence based handover decision and network selection in heterogeneous internet of vehicles

Hussain

Yusof

Asuncion

et al. 2021

IJEECS

View full text Add to dashboard Cite

Internet of vehicles (IoV) is an emerging area that gives support for vehicles via internet assisted communication. IoV with 5G provides ubiquitous connectivity due to the participation of more than one radio access network. The mobility of vehicles demands to make handover in such heterogeneous network. The vehicles at short range uses dedicated short range communication (DSRC), while it has to use better technology for long range and any type of traffic. Usually, the previous work will directly select the network for handover or it connects with available radio access. Due to this, the occurrence of handover takes place frequently. In this paper, the integration of DSRC, LTE and mmWave 5G on IoV is incorporated with novel handover decision making, network selection and routing. The handover decision is to ensure whether there is a need for vertical handover by using Dynamic Q-learning algorithm that uses entropy function for threshold prediction as per the current characteristics of the environment. Then the network selection is based on fuzzy-convolution neural network (F-CNN) that creates fuzzy rules from signal strength, distance, vehicle density, data type and line of sight. V2V chain routing is proposed to select V2V pairs using jellyfish optimization algorithm (JOA) that takes in account of channel, vehicle and transmission metrics. This system is developed in OMNeT++ simulator and the performances are evaluated in terms of success probability, handover failure, unnecessary handover, mean throughput, delay and packet loss.

show abstract

“…Interoperability is the skill of applications and devices to communicate with each other. Sensors and devices embedded in vehicles, such as Road Side Units and Application Units, built by different manufacturers use different protocols [5].…”

Section: Introductionmentioning

confidence: 99%

Internet of Vehicles Interoperability using CoAP Protocol for Streaming Applications

Borges,

Valadares,

Santos

2023

Anais Do XLI Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

View full text Add to dashboard Cite

The Internet of Vehicles is widely applied in the context of connected systems nowadays. A vehicular network, a structure that provides vehicle-to-everything communication, can solve many issues in IoV. However, it deals with connectivity restrictions such as volatility, latency, bandwidth, and interoperability. To deal with these issues, applications can use lightweight IoT protocols such as the Constrained Application Protocol (CoAP). This paper presents a practical use case implemented using the CoAP protocol, considering a Multi-access Edge Computing (MEC) scenario, which runs cloud services at the network's edge and performs specific interoperable tasks. The evaluated scenario considers a V2X Streaming Service application that uses the V2X Information Service, an API to facilitate the interoperability between V2X communications and external applications. The study concludes that CoAP can fulfill the scenario's connectivity requirements and facilitate interoperability between IoT services.

show abstract

A Review of Interoperability issues in Internet of Vehicles (IoV)

Cited by 8 publications

References 13 publications

Growable design of passenger vehicle interior space based on FAHP and FQFD

Growable design of passenger vehicle interior space based on FAHP and FQFD

Artificial intelligence based handover decision and network selection in heterogeneous internet of vehicles

Internet of Vehicles Interoperability using CoAP Protocol for Streaming Applications

Contact Info

Product

Resources

About