Reliable Packet Delivery in Vehicular Networks Using WAVE for Communication Among High Speed Vehicles

Arora, Arjun; Rakesh, Nitin; Mishra, K. K.

doi:10.1007/978-981-10-4585-1_6

Cited by 4 publications

(8 citation statements)

References 19 publications

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“…If there are 'r' car slots that are (occupied in a path, that is dispersed in 'l' spaces. We presume that many combinatorial variations associated with the 'r' cars within the 'l' spaces are much like; as proof advocating many variations above other distributions that are lacking [22][23]. Implementing the separate area size circulation that is geometric model, we're able to determine the distribution that is joint of r −1 space lengths, in the event that occupancy ratio (r/l) is held constant aided by the size 'l' approaches infinity, being a distribution that is having geometric r − 1 space distances are split and equally dispersed with results possibility of r/l.…”

Section: Predictive Probability Calculation Associated With the Ammentioning

confidence: 98%

“…Furthermore, this particular method will not be highly relevant to environments which may be extremely vibrant as vehicular systems. Other works such as [22] was presented and concentrates into the node that is uniform on the list of variety of Mobile Ad-Hoc Networks (MANET) nodes above certain area (geographic). Within this article, a technique is presented that advances VANET connection coverage area dependent on decentralized game strategy that targets managing automobiles which are driverless, bridge the spaces in between automobile platoons.…”

Section: Associated Workmentioning

confidence: 99%

“…Car paths environment might be either a highway set-up or perhaps a populous city set-up. Regarding the highway situation, the car travels in a path that is nearly straight, and simply makes selection of whether or not to leave the highway or perhaps maybe not [20][21][22]. But, in a populous city situation, the environment is more difficult by which a car takes one of the most significant alternatives to complete and show up to its objective location.…”

Section: A Brief Overview On Dvcmentioning

confidence: 99%

“…Being a total outcome, cars are arranged in a clustered shape; known as platoons. The significant inter-platoon intervals reduces the chances of accidents amongst platoons, along with the inter-platoon which is fast; insures that any collision that happened at first in a platoon may have a comparatively minor value for velocity; and therefore, low system intensity [22][23]. In DVC, we stick to the guideline of loose-element automobiles that move with no grouped development and additionally the minimal longitudinal spacing is considerably smaller compared to typical interplatoon spacing.…”

Section: Figure 2: Illustration Showing Improvement In Vanet Connectimentioning

confidence: 99%

“…This particular method is dependent upon the fundamental undeniable fact that a particular path is portioned into a few active slots, and every slot is sometimes utilized with a car or it is [22][23] having no automobile. A slot size 'c' is made of: • The area, 'k', really utilized by the car plus an extra space arranged to allow a method that is lateral without impacting the traffic rate on either lane.…”

Section: Dissemination Of Gap Amongst Pair Of Loose Elementsmentioning

confidence: 99%

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Strengthening Connectivity in VANET by Making use of Driverless Cars

Arora*,

Mehra,

Mishra

et al. 2019

IJEAT

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Connectivity in vehicular setup is constantly changing as a consequence of high degree of freedom causing large amounts of modifications rapidly in the operational topology. It has an effect that is direct and negative with the packet & throughput transposal wait. Multiple algorithms as well as solutions have been proposed in order to tackle this dilemma. Although, many of them cannot be practically implemented because of over dependence on infrastructure that is centralized; that are attributed by having a humongous worth for fixing the setup and its associated upkeep. Transport sites are involved with numerous kinds of cars including driver-less and non-driverless ones. This research paper, proposes to give a solution to the dilemma of VANET connectivity by handling the paths as well as rate of driverless cars according to the depth and rate of nondriverless cars. This really is accomplished via a decentralized game which is having a approach that is cooperative and delivers stability between driverless cars’ trip period, and improvements to your VANET connectivity. Evaluations on the proposed approach through considerable simulations are made by making use of traffic information, and observe significant improvements of up to 43 per cent in the connectivity of the network utilizing the proposed approach. The computer simulation outcomes confirm that there's a marked enhancement as much as 48% regarding the system which will be normal when contrasted with the typical car sites. The enhancement goes at a price of added traveling length associated with the car; nonetheless, this increment is within the bounds of 12%.

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Section: Predictive Probability Calculation Associated With the Ammentioning

confidence: 98%

Section: Associated Workmentioning

confidence: 99%

Section: A Brief Overview On Dvcmentioning

confidence: 99%

Section: Figure 2: Illustration Showing Improvement In Vanet Connectimentioning

confidence: 99%

Section: Dissemination Of Gap Amongst Pair Of Loose Elementsmentioning

confidence: 99%

See 3 more Smart Citations

Strengthening Connectivity in VANET by Making use of Driverless Cars

Arora*,

Mehra,

Mishra

et al. 2019

IJEAT

Self Cite

View full text Add to dashboard Cite

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Dependable and reliable cloud‐based architectures for vehicular communications: A systematic literature review

Yang

et al. 2023

Int J Communication

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Traffic congestion, air pollution, fuel wastage, and car accidents are all exacerbated by increased traffic. Thus, vehicular communications, which refer to information transmission between cars, pedestrians, and infrastructures, have lately gained popularity and been extensively explored due to their enormous potential to enable intelligent transportation and various safety applications. Manually piloted cars and automated vehicles can acquire relevant information via vehicular communications to enhance traffic security and boost entertainment services. The basic concept of automobile clouds was originally published in the literature not long ago, and several suggested structural approaches have been presented in this study thus far. Several academics have concentrated on the structural layout to address various problems and, as a result, satisfy user expectations in order to give dependable services. We examined various vehicular cloud topologies in this study. We also offered a complete summary of current network layer research on allowing efficient vehicle communications and examined specific security, architectural, and reliability concerns in vehicular clouds. Also, the taxonomy of vehicular networks was discussed in terms of the service link between vehicular networks and cloud computing. Ultimately, we discussed the research prospects available. The results showed that security and privacy challenges are among the most important challenges.cloud computing, vehicular ad hoc network, vehicular cloud architecture, vehicular communication | INTRODUCTIONBecause of its vast application domains, like commercial-oriented, safety-relevant, and convenience-centered applications, 1-3 vehicular networks have recently gained much study interest. 4 Real-time traffic, notice after a crash, cooperative message transmission, warning of a coordinated collision, and traffic vigilance are some safety-relevant applications that may be categorized. 5 Distant vehicle personalization/diagnostics, digital map downloading, Internet access, value-added commercials and advertisements, and real-time entertainment video relay are included in the commercial-centered application. 6 Route diversions, parking availability, electronic toll collection, and active prediction help are examples of convenience-centered applications. 1,7,8 So, vehicle networks must meet some most stringent standards in all these essential application fields. 2,9 Time-critical Vehicle-to-Vehicle (V2V) safety applications necessitate

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