Multi-radio over Fiber Architecture for Road Vehicle Communication in VANETs

Sherazi, Hafiz Husnain Raza; Raza, Imran; Chaudary, Muhammad Hasanain; Hussain, Syed Asad; Raza, Muhammad Hassan

doi:10.1016/j.procs.2014.05.528

Cited by 11 publications

(7 citation statements)

References 11 publications

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“…So by using the equation (1) K.E of the system can be calculated, now the turbine power generated from air depends upon the mass flow rate of air which is expressed in equation ( 2), Where ρ is the density of air, A is the area of cross section of turbine and v is the air velocity [33]. Now, the turbine power is equal to the kinetic energy exerted by air given in equation (3). The formula for the power generated by the turbine via wind power [34] is given in 4), where P r is the turbine power and C P is the power coefficient for the turbine.…”

Section: Wind/turbine Powermentioning

confidence: 99%

“…The incorporation of the concept of 5G communication modes is also in wide discussion. These communication paradigms have opened up a broad spectrum of technological advancements such as VANET [3,4], IoV [5][6][7], and industrial automation [8,9] to name a few. The IoV not only promotes connectivity to achieve communication among the vehicles, but also with the road side infrastructure that promotes its safety and ease of service on the road.…”

Section: Introductionmentioning

confidence: 99%

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Designing Wind Energy Harvester for Connected Vehicles in Green Cities

Khan¹,

Sherazi²,

Ali³

et al. 2021

Preprint

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The recent advancements in the field of communication have led data sharing to become an integral part of today's smart cities with the evolution of concepts such as the internet of vehicles (IoV) paradigm. As a part of IoV, Electric Vehicles (EVs) have recently gained momentum as authorities have started expanding their Low Emission Zones (LEZ) in an effort to build green cities with low carbon footprints. Energy is one of the key requirements of EVs not only to support the smooth and sustainable operation of EV itself but to also ensure connectivity between the vehicles and infrastructure with controlling devices like sensors and actuators installed within an EV. In this context, renewable energy sources (such as wind energy) dramatically play their parts in the automobile sector towards designing the energy harvesting electric vehicles (EH-EV) to pare the energy reliance on the national grid. In this article, a novel approach is presented to achieve electric generation due to vehicle mobility to support the communication primitives in electric vehicles which enables plenty of IoV use cases in the presence of surplus energy at hand. A small-scale wind turbine is designed to harness wind power for converting it into mechanical power. This power is then fed to the onboard DC generator to produce electrical energy. Furthermore, the acquired power is processed through a regulation circuitry to consequently achieve the desired power supply for the end load, i.e. the batteries installed. The suitable orientation for efficient power generation is proposed on ANSYS-based aerodynamics analysis. The voltages induced by DC generator at No-Load condition are 35V while at Full-Load 25V are generated at rated current of 6.9A, along with the generation of power at around 100W (at constant voltage) at the rated speed of 90 mph for nominal battery charging. Moreover, the acquired data can be monitored via an android application interface by using a Bluetooth module.

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Section: Wind/turbine Powermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Designing Wind Energy Harvester for Connected Vehicles in Green Cities

Khan¹,

Sherazi²,

Ali³

et al. 2021

Preprint

View full text Add to dashboard Cite

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“…Architecture. e multi-interfaced IoV system exploiting the radio over fiber (RoF) [15] paradigm is proposed where moving vehicles are equipped with the vehicular GID terminal with more than one wireless interfaces installed. ese interfaces are capable to communicate with small radio access units (RAUs) installed along the roadside to relay the communication onto control station (CS) in the V2I mode.…”

Section: A Holistic View Of Heterogeneous Iovmentioning

confidence: 99%

A Heterogeneous IoV Architecture for Data Forwarding in Vehicle to Infrastructure Communication

Sherazi

Khan

Rizwan

et al. 2019

Mobile Information Systems

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The Internet of vehicles (IoV) is a newly emerged wave that converges Internet of things (IoT) into vehicular networks to benefit from ubiquitous Internet connectivity. Despite various research efforts, vehicular networks are still striving to achieve higher data rate, seamless connectivity, scalability, security, and improved quality of service, which are the key enablers for IoV. It becomes even more critical to investigate novel design architectures to accomplish efficient and reliable data forwarding when it comes to handling the emergency communication infrastructure in the presence of natural epidemics. The article proposes a heterogeneous network architecture incorporating multiple wireless interfaces (e.g., wireless access in vehicular environment (WAVE), long-range wireless fidelity (WiFi), and fourth generation/long-term evolution (4G/LTE)) installed on the on-board units, exploiting the radio over fiber approach to establish a context-aware network connectivity. This heterogeneous network architecture attempts to meet the requirements of pervasive connectivity for vehicular ad hoc networks (VANETs) to make them scalable and adaptable for IoV supporting a range of emergency services. The architecture employs the Best Interface Selection (BIS) algorithm to always ensure reliable communication through the best available wireless interface to support seamless connectivity required for efficient data forwarding in vehicle to infrastructure (V2I) communication successfully avoiding the single point of failure. Moreover, the simulation results clearly argue about the suitability of the proposed architecture in IoV environment coping with different types of applications against individual wireless technologies.

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“…It checks whether the obstacles block the radio transmission, and if there is obstruction, the vehicle gets the transmission power from nearby vehicles [5]. Radio transmission power for vehicles becomes zero if they cross the obstacles such as a polygon.…”

Section: Obstacle Controlmentioning

confidence: 99%

Fault tolerant load balancing in vehicular communication using distributed spanning tree

Amudhavel

Reddy²,

Dhavachelvan

2018

ICST Transactions on Scalable Information Systems

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VANET information dissemination among vehicle to infrastructure and infrastructure to the vehicle is necessarily more important. Sharing resources between vehicles such as safety messages, weather reports, multimedia applications, traffic information's, alert message without any failures is still an issue in VANET.A Lot of improvements needed for resource sharing by proper load balancing. Distributed Spanning Tree is similar to broadcast algorithm. The broadcast algorithms are used to send the messages. To analyze the function of Load balancing which is an unsolved problem in vehicular networks due to the movement of vehicles. Distributed Spanning Tree structure is proposed to frame the fault-tolerant load balancing in VANET. The main aim of load balancing is to distribute resources for increasing the performance and to minimize the delay. This fault-tolerant load balancing is achieved by Distributed Spanning Tree (DST). Intelligent transportation system makes communication more robust and safe between the vehicles. Vehicular Ad-Hoc Network is gaining popularity in the research field due to increase in safer communication between vehicles. Load balancing in vehicular networks is more critical due to mobility of vehicles. Discovery of services in VANET which ensures good QoS (Quality of Service) is very essential.

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Multi-radio over Fiber Architecture for Road Vehicle Communication in VANETs

Cited by 11 publications

References 11 publications

Designing Wind Energy Harvester for Connected Vehicles in Green Cities

Designing Wind Energy Harvester for Connected Vehicles in Green Cities

A Heterogeneous IoV Architecture for Data Forwarding in Vehicle to Infrastructure Communication

Fault tolerant load balancing in vehicular communication using distributed spanning tree

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