Pallavi

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Vol.4 Issue 1

International Engineering Journal For Research & Development

Impact factor : 3.35

E-ISSN NO:-2349-0721

A REVIEW PAPER ON: VEHICULAR ROUTING INFORMATION SERIES OF OBSERVATIONS TO MAXIMIZE DATA PREFETCHING IN VEHICULAR CLOUD SYSTEM (VCS) 1

Ms. Puja V. Gawande, 2Pallavi C. Maraskolhe

1

Assistant Professor Dept. of Electronics & Communication Engg., 2Dept. of Electronics & Communication Engg. 1

2

p.gawande07@gmail.com, pallavi6191@gmail.com

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ABSTRACT In the last few decades, new wireless communication

technologies

harmonize

into

modernistic vehicles offer an opportunity for better abetment or helping to people injured in traffic accidents.

Recent

research

shoe

how

communication concord should be supported by

Index term – wireless access point (APs), vehicular ad hoc network (VANETs), vehicle to vehicle (V2V), vehicle to infrastructure (V2I), infrastructure to vehicle (I2V), vehicular cloud system (VCS).

artificial intelligence systems is the ability of the computer program or machine to learn and

INTRODUCTION

perform. To improve the overall rescue procedure, a fast and accurate estimation of the hardness of the accident represent a key point to help emergency service better assessment the required resources .In this paper, we contrive a vehicle route-based data dissemination success probability in an average sense when the size of local data storage is limited and wireless connectivity is precise unknown. We propose a grasping algorithm and an online learning algorithm for determinist and precise cases respectively, to decide how to prefer a set of data of interest from a data centre to roadside wireless access points (APs). The wireless serves as an infrastructure for network connectivity in VANETs. Project proposed a novel intelligent system where is able to automatically detects road accidents, notify them through vehicular network and assessment their severity based on the concept of data mining and knowledge interference.

During the past few decades, the total number of vehicles in our roads has experienced eccentric growth making traffic density higher and increasing driver’s attention requirements. Vehicular ad hoc networks (VANETs) have been widely studied as an effective method for providing wireless communication

connectivity

in

vehicular

transportation systems. Especially, vehicular cloud systems (VCS) have received rich well-provided interest for the ability to offer a variety of vehicle information

services.

We

consider

the

data

circulation problem of providing reliable data delivery service from a cloud data centre to vehicles through roadside wireless access point (APs) with local data storage. Due to spasmodic wireless connectivity and the restricted data storage size of roadside wireless APs, the question of how to use the limited resources of the wireless APs is one of the most pressing issues affecting data broadcasting

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