Analysis of Safety Applications in VANET for LTE Based Network

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

doi:10.1007/978-981-10-4585-1_12

Cited by 9 publications

(11 citation statements)

References 23 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: 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%

“…This collaboration is essential to avoid the cars from selecting the path that is precisely same and waste the vehicle connections reach that may possibly be added towards the basic system connections. This situation is patterned having an accommodative perspective that is based upon a multiplayer game having non-zero-sum [23][24][25]. The all-around game is regarded as a number of fixed games with distinct time period where players (i.e., cars) have to resolve this game which will be fixed in nature with each considering its location on some distinct findings.…”

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

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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: 99%

Section: Figure 2: Illustration Showing Improvement In Vanet Connectimentioning

confidence: 99%

Section: Dissemination Of Gap Amongst Pair Of Loose Elementsmentioning

confidence: 99%

Section: Dissemination Of Gap Amongst Pair Of Loose Elementsmentioning

confidence: 99%

See 2 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

show abstract

“…IEEE 802.15.4 has a low power consumption feature, which is an advantage over IEEE 802.11p's high power consumption. In [19][20][21], a comparative study between IEEE 802.11p and LTE aimed to evaluate their suitability for different vehicular applications and finding, using analytical and simulation modelling, that the latter has a distinct advantage over IEEE 802.11p-based VANET for transmission of safety messages was shown [22]. Other studies have shown that LTE supports mobility and provides higher network capacity compared with IEEE 802.11p [20].…”

Section: Earlier Work On Overlays In Ltementioning

confidence: 99%

Priority-Based Machine-To-Machine Overlay Network over LTE for a Smart City

Khan

Mišić

2018

JSAN

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Long-Term Evolution (LTE) and its improvement, Long-Term Evolution-Advanced (LTE-A), are attractive choices for Machine-to-Machine (M2M) communication due to their ubiquitous coverage and high bandwidth. However, the focus of LTE design was high performance connection-based communications between human-operated devices (also known as human-to-human, or H2H traffic), which was initially established over the Physical Random Access Channel (PRACH). On the other hand, M2M traffic is mostly based on contention-based transmission of short messages and does not need connection establishment. As a result, M2M traffic transmitted over LTE PRACH has to use the inefficient four-way handshake and compete for resources with H2H traffic. When a large number of M2M devices attempts to access the PRACH, an outage condition may occur; furthermore, traffic prioritization is regulated only through age-based power ramping, which drives the network even faster towards the outage condition. In this article, we describe an overlay network that allows a massive number of M2M devices to coexist with H2H traffic and access the network without going through the full LTE handshake. The overlay network is patterned after IEEE 802.15.6 to support multiple priority classes of M2M traffic. We analyse the performance of the joint M2M and H2H system and investigate the trade-offs needed to keep satisfactory performance and reliability for M2M traffic in the presence of H2H traffic of known intensity. Our results confirm the validity of this approach for applications in crowd sensing, monitoring and others utilized in smart city development.

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Survey of connected automated vehicle perception mode: from autonomy to interaction

Shangguan

Guo

et al. 2018

IET Intelligent Transport Systems

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Analysis of Safety Applications in VANET for LTE Based Network

Cited by 9 publications

References 23 publications

Strengthening Connectivity in VANET by Making use of Driverless Cars

Strengthening Connectivity in VANET by Making use of Driverless Cars

Priority-Based Machine-To-Machine Overlay Network over LTE for a Smart City

Survey of connected automated vehicle perception mode: from autonomy to interaction

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