Abstract

As the demand for VANETs data transmission continues to increase, the defined cellular band becomes a bottleneck to meet the demands for all vehicle-to-everything (V2X) users. To deal with this problem, an efficient cluster based resource management scheme and its performance analysis for V2X networks is suggested to discover exceptional needs for various types of VANETs connections, namely vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) connections, and to enhance the efficiency of cellular user with respect to sum ratio, packet received ratio and average throughput for V2I connections whereas maintaining constancy for each V2V link. To deal with the fast channel deviations because of high mobility, we developed an efficient cluster based resource management technique to attain spectrum sharing and power control that relies on large scale fading. In addition, we have also examined the resource management problem of VANETs and V2X users to minimize data communication effects. Primarily, the total cellular sum ratio of every V2I connections is employed as an analysis target to enhance the throughput and to minimize end-to-end latency of the whole V2I link. Moreover, efficient resource management and cluster head selection algorithms are developed which grant the optimum resource distribution. According to our results, the proposed scheme with efficient resource management improves cellular user sum rate, average packet received ratio and throughput in comparison with existing schemes.

Highlights

  • Intelligent transportation systems (ITS) have been evolved for years to assist different kinds of safety critical and traffic efficient applications

  • We propose an efficient cluster based resource management system and its performance analysis for V2X networks based on existing work [15], [27], [28] to assist all vehicles connections namely, V2V and V2I connections

  • We introduce a set of metrics to select the steady and optimal cluster head, where the metric group consists of three different metrics, namely vehicle velocity, link time period X and the mean distance between transmitting vehicles

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Summary

INTRODUCTION

Intelligent transportation systems (ITS) have been evolved for years to assist different kinds of safety critical and traffic efficient applications. F. Abbas et al.: Efficient Cluster Based Resource Management Scheme and Its Performance Analysis for V2X Networks cellular network technology, keeping the costs in the vehicle at a minimum. We propose an efficient cluster based resource management system and its performance analysis for V2X networks based on existing work [15], [27], [28] to assist all vehicles connections namely, V2V and V2I connections. An efficient cluster based resource management system and its performance analysis for V2X networks for spectrum and power management is proposed to enhance reliability, throughput and latency performance. An analysis technique is considered to model the intended reliability and latency requirements for V2X communications, which are based on random fast fading impacts, into analysis constraints that are measurable over slowly changing channel state information (CSI) only.

STATE OF THE ART
INTERFERENCE ANALYSIS OF V2V AND V2I USERS
PROBLEM FORMULATION
CLUSTER FORMATION
POWER MANAGEMENT FOR CELLULAR-V2V USER’s PAIRS
Result
CONCLUSION
Full Text
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