Improving Road Safety for Driver Malaise and Sleepiness Behind the Wheel Using Vehicular Cloud Computing and Body Area Networks

Benadda, Meriem; Belalem, Ghalem

doi:10.4018/ijssci.2020100102

Cited by 14 publications

(3 citation statements)

References 4 publications

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“…Using vehicular cloud computing and body area networks, driver sickness and sleepiness behind the wheel were detected [ 15 ]. Authentication of emergency vehicle protocols was efficient against attacks such as impersonation, device theft, and reputation attacks [ 16 ].…”

Section: Related Workmentioning

confidence: 99%

An optimized location service for the fifth generation VANETs inspired by traffic lights

2021

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Vehicular ad-hoc networks (VANETs) address a steadily expanding demand, particularly for public emergency applications. Real-time localization of destination vehicles is important for determining the route to deliver messages. Existing location administration services in VANETs are classified as flooding-based, flat-based, and geographic-based location services. Existing localization techniques suffer from network disconnection and overloading because of 5G VANET topology changes. 5G VANETs have low delay and support time-sensitive applications. A traffic light-inspired location service (TLILS) is proposed to manage localization inspired by traffic lights. The proposed optimized localization service uses roadside units (RSUs) as location servers. RSUs with the maximum traffic weight metrics were chosen. Traffic weight metrics are based on speed of vehicles, connection time and density of neighboring vehicles. The proposed TLILS outperforms both Name-ID Hybrid Routing (NIHR) and Zoom-Out Geographic Location Service (ZGLS) for packet delivery ratio (PDR) and delay. TLILSs guarantee the highest PDR (0.96) and the shortest end-to-end delay (0.001 s) over NIHR and ZGLS.

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Section: Related Workmentioning

confidence: 99%

An optimized location service for the fifth generation VANETs inspired by traffic lights

2021

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“…A more secure vehicular network can ensure less human casualty and fuel consumption which manages to achieve crucial improvement in the transportation system. 3,4 To accomplish the aforementioned goals road side units are the most significant backbone infrastructure of ITS. For data transmission RSUs exchanged information with vehicle equipped on board units (OBU) and application unit (AU) that is mounted in vehicles to provide safety applications.…”

Section: Introductionmentioning

confidence: 99%

“…To achieve safety for drivers and commuters VANET has to distinguish false information producing from attackers. A more secure vehicular network can ensure less human casualty and fuel consumption which manages to achieve crucial improvement in the transportation system 3,4 . To accomplish the aforementioned goals road side units are the most significant backbone infrastructure of ITS.…”

Section: Introductionmentioning

confidence: 99%

Improved Quality of Service by canine olfactory route finding algorithm for Vehicular Ad Hoc Network

Ghosh

Misra

Chakraborty

2023

Trans Emerging Tel Tech

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QoS aware vehicular ad‐hoc network (VANET) routing protocols address the increasing demand for delay‐sensitive vehicular applications to establish intelligent transportation. Primary challenge with ad‐hoc nature of VANET is that the communication between vehicle‐to‐vehicle and vehicle‐to‐infrastructure is prone to link failure. Bio‐inspired algorithms offer robust solutions to secure VANET links. Accordingly in this article, novel canine olfactory route‐finding algorithm (CORFA) is proposed for VANET to achieve the best possible route with the minimum transmission of packets, which ensures enhanced QoS. The underlying architecture utilizes the exceptional ability of canines to evaluate and memorize the environment and pass the message to neighbors. It makes canines a great choice to model their behavior for VANET routing. RSUs are fundamental components of VANET that supply contents to the proceeding vehicles from their cache. As RSUs carry out information dissemination tasks efficiently, the already traversed and discovered routing paths in the recent past can be cached in RSU's storage and through back‐haul can be circulated to neighboring RSUs. Vehicles request the pre‐cached route and use them for data transmission. Thereby avoiding the route discovery and maintenance procedure reduces the routing overhead. In absence of a pre‐cached route, the fittest vehicle from each hop is selected as next forwarder for packet transmission. The proposed routing algorithm forms multiple routes during route discovery to handle link failure scenario. Traffic simulator, SUMO is used to generate the mobility model and integrated with MATLAB for analysing the performance of CORFA with related geographical and topological routing protocols that confirm the performance superiority of CORFA under several metrics such as packet delivery ratio, network latency, throughput, and overhead.

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WSNs and IoTs for the Identification of COVID-19 Related Healthcare Issues: A Survey on Contributions, Challenges and Evolution

Khan

Gupta

2021

Studies in Big Data

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Improving Road Safety for Driver Malaise and Sleepiness Behind the Wheel Using Vehicular Cloud Computing and Body Area Networks

Cited by 14 publications

References 4 publications

An optimized location service for the fifth generation VANETs inspired by traffic lights

An optimized location service for the fifth generation VANETs inspired by traffic lights

Improved Quality of Service by canine olfactory route finding algorithm for Vehicular Ad Hoc Network

WSNs and IoTs for the Identification of COVID-19 Related Healthcare Issues: A Survey on Contributions, Challenges and Evolution

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