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Proceedings ArticleDOI

Learning Automata-Based Channel Reservation Scheme to Enhance QoS in Vehicular Adhoc Networks

TLDR
A channel reservation procedure based on learning automata and node speed to improve the QoS in VANET is proposed and channel reusability technique is incorporated to make the efficient usage of channels.
Abstract
The very high mobility of the nodes in Vehicular Adhoc Networks (VANET) increases the rate at which the handoff occurs. This motivates researchers to investigate the novel strategies for channel allocation such that the handoff becomes transparent. At the same time the utilization of the channels need to be effective in order to enhance the QoS. Hence this paper proposes a channel reservation procedure based on learning automata and node speed to improve the QoS in VANET. Channel reusability technique is incorporated to make the efficient usage of channels. The percentage of dropped calls and handoff latency are used as metrics to evaluate the proposed method.

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Citations
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Journal ArticleDOI

Learning automata and reservation based secure smart parking system: Methodology and simulation analysis

TL;DR: The performance of the proposed algorithm, Learning Automata and Reservation based Secure Smart Parking System (LA-RSSPS) is simulated and evaluated in terms of average waiting time, search time, the probability with which the vehicles do not get parking slot when they do not have reservation and the likelihood of getting reservation and is compared with ProNet and iERS.

Distributed Channel and Power Level Selection in VANET Based on SINR using Game Model

TL;DR: The simulation model of channel and power level selection is build and the results of simulation display the improvement of VANET performance in term of SINR and throughput from the proposed scheme.
Journal ArticleDOI

Performance study and optimization of multi-channel allocation in VANET under physical channel model

TL;DR: A study of multi-channel allocation in orthogonal frequency multiple access vehicular ad hoc network (VANET) under physical channel model and an optimization method based on meta-heuristic approach are presented.
Journal ArticleDOI

Deep Learning Based Efficient Channel Allocation Algorithm for Next Generation Cellular Networks

TL;DR: The results show that the proposed algorithm, DLCA outperforms in terms of blocking and dropping probability and the system is made learned deeply to determine the number of channels that each base station can acquire and also dynamically varying based on the time.
Book ChapterDOI

An Efficient Trust-Based Approach to Load Balanced Routing Enhanced by Virtual Machines in Vehicular Environment

TL;DR: In this article, an enhanced reliable solution has been proposed for the problem of load management by introducing virtual machines into the network, which has shown improved results over a load-balancing mobility model for VANETs existing in the literature.
References
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Journal ArticleDOI

Learning Automata-Based Fault-Tolerant System for Dynamic Autonomous Unmanned Vehicular Networks

TL;DR: An approach to fault-tolerant AUxV networks by designing a routing method based on the cross-layer design and the learning automata (LA), referred as Unmanned Vehicle Network with LA-based Routing using Cross-Layer Design (ULARC).
Proceedings ArticleDOI

RSU-coordinated Multi-channel MAC with Multi-criteria Channel Allocation

TL;DR: A Road Side Unit-coordinated multi-channel MAC with a centralized multi-criteria service channel allocation and scheduling scheme is proposed, maintaining a relatively high throughput even in densely populated scenarios, while QoS of high priority application is guaranteed.
Journal ArticleDOI

Approach for channel reservation and allocation to improve quality of service in vehicular communications

TL;DR: A channel allocation algorithm that utilises channel reuse technique, channel borrowing process and the speed of the vehicle to reserve the channel for handoff calls to improve quality of service (QoS) in VANET is proposed.
Proceedings ArticleDOI

Dynamic channel partition and reservation for structured channel access in vehicular networks

TL;DR: This work addresses the situation when there is asymmetric traffic demands from vehicles on the two sides of a roadway, under which condition the throughput performance of unmodified DCR would be significantly degraded, due to its static partition and allocation of TDMA channels to each side of the road.
Proceedings ArticleDOI

Power control for fair dynamic channel reservation in VANETs

TL;DR: A modified version of DCR, fDCR, is proposed, in which time channels can be occupied by several vehicles, thus fostering a fair channel reservation scheme and a low-overhead transmission power control scheme is proposed to enhance the probability of reception in nearby vehicles.
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