Optimization of Resource Allocation using Quantum Genetic Algorithm for Cloud Data

Dani, Virendra; Kushwah, Surbhi; Kokate, Priyanka

doi:10.1109/i-smac52330.2021.9640993

Cited by 3 publications

(1 citation statement)

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“…The necessity to enhance the efficiency with which devices or vehicles of lower power employ their processing, storage, and battery capacities has engendered an increased adoption of offloading, which involves shifting workloads to alternative devices for processing. The act of vehicle computation offloading, it has been found, addresses the dilemma of resource scarcity by relocating time-sensitive and resource-intensive computations to systems of larger capacity [32]. Furthermore, the burgeoning popularity of Connected and Autonomous Vehicles (CAVs) across a spectrum of applications has heightened the demand for on-board networking and processing power in vehicular systems.…”

Section: Exploration Of Offloading Methodologies In Vanetsmentioning

confidence: 99%

A Comprehensive Exploration of Resource Allocation Strategies within Vehicle Ad-Hoc Networks

Sheela,

Nataraj,

Mallikarjunaswamy

2023

MITS

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In recent years, a surge in the utilisation of vehicle-to-vehicle (V2V) communication has been observed, serving as a pivotal factor in facilitating automatic control of vehicles without human intervention. This advancement has notably curtailed accident rates, mitigated traffic congestions, and augmented vehicular security. Consequently, a meticulous survey has been orchestrated in the domain of Vehicle Ad-Hoc Networks (VANETs), particularly as autonomous vehicles pervade urban landscapes. The necessity for resources to assure secure and consistent operations of an escalating fleet commensurately intensifies with the enlargement of the fleet itself. Intelligent Transportation Systems (ITS) hinge upon VANETs to furnish travellers with secure and pleasant journeys, pertinent information and entertainment, traffic management, route optimisation, and accident prevention. Nevertheless, a plethora of challenges inhibits the delivery of an adequate Quality of Service (QoS) within vehicular networks, such as congested and interrupted wireless channels, a progressively saturated and sprawling spectrum, hardware inconsistencies, and the swift expansion of vehicular communication systems. Contemporary networks and energy grids are subject to strain from daily and recreational activities. As demand perpetually ascends, a necessity arises for more refined tools and methodologies for resource management and a more precise distribution system. This investigation offers an exploration of the most recent practices and trends in VANET resource allocation, with the objective of garnering insights into the existing research landscape and its impelling forces.

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Section: Exploration Of Offloading Methodologies In Vanetsmentioning

confidence: 99%