معماری در شبکه های ادهاک وسایل نقلیه
ترجمه نشده

معماری در شبکه های ادهاک وسایل نقلیه

عنوان فارسی مقاله: ردیاب خرابی سلسله مراتبی مبتنی بر معماری در شبکه های ادهاک وسایل نقلیه (VANET)
عنوان انگلیسی مقاله: A Hierarchical Failure Detector Based on Architecture in VANETs
مجله/کنفرانس: دسترسی – IEEE Access
رشته های تحصیلی مرتبط: مهندسی فناوری اطلاعات
گرایش های تحصیلی مرتبط: شبکه های کامپیوتری، اینترنت و شبکه های گسترده
کلمات کلیدی فارسی: شبکه های ادهاک وسایل نقلیه (VANET)، تشخیص خرابی سلسله مراتبی، معماری، کیفیت خدمات
کلمات کلیدی انگلیسی: VANETs, hierarchical failure detection, architecture, QoS
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
شناسه دیجیتال (DOI): https://doi.org/10.1109/ACCESS.2019.2948599
دانشگاه: Jiangsu Key Laboratory of Broadband Wireless Communication and Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
صفحات مقاله انگلیسی: 8
ناشر: آی تریپل ای - IEEE
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2019
ایمپکت فاکتور: 4.641 در سال 2018
شاخص H_index: 56 در سال 2019
شاخص SJR: 0.609 در سال 2018
شناسه ISSN: 2169-3536
شاخص Quartile (چارک): Q2 در سال 2018
فرمت مقاله انگلیسی: PDF
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
آیا این مقاله مدل مفهومی دارد: ندارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: ندارد
کد محصول: E13899
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست مطالب (انگلیسی)

Abstract

I. Introduction

II. Related Work

III. Implementation of VC-FD

IV. Simulation Results and Analysis

V. Conclusion

Authors

Figures

References

بخشی از مقاله (انگلیسی)

Abstract

The failure detector is one of the fundamental components for maintaining high availability of Vehicular Ad-hoc Networks (VANETs). However, the dynamic nature of VANETs caused by the high mobility of vehicles and communication link failures has a serious impact on the performance of failure detection. Therefore, it is very meaningful to design a suitable failure detector that can deal with the dynamic nature of VANETs well. In this paper, we propose a hierarchical failure detector based on the architecture of VANETs. This failure detector can adapt to the dynamic network conditions and meet the different Quality of Service (QoS) requirements of multiple applications in VANETs. Different from existing failure detectors, we propose a failure detector that employs a detection-result sharing mechanism and groups the nodes according to the architecture of VANETs. We evaluate our proposed failure detector by using NS2 and GT-ITM to simulate the work environment of VANETs. The experimental result shows that our proposed failure detector can improve the detection time by at most 45% and the detection accuracy by at most 25% under similar detection overhead.

Introduction

Vehicular Ad-hoc Networks (VANETs) are dynamic, nonstructured, self-organizing networks with asynchronous and distributed characteristics, and the nodes (vehicles) move at high speeds compared to other mobile ad-hoc networks (MANETs) [1]–[3]. The main purpose of VANETs is to provide a medium for intervehicular communication allowing for intervehicle (V2V) and vehicle to roadside infrastructure (V2R) data exchange, with multiple applications for Intelligent Transportation Systems (ITS). One of the important features is the high mobility of vehicles in VANETs; vehicles can suddenly quit or enter the network, and communication links among vehicles may suffer from signal degradation due to obstacles, changes in vehicle densities, etc. [4]–[6]. For the ITS applications running on VANETs, VANETs must be fault-tolerant to mitigate communication problems among network nodes so that decisions can be made safely and with confidence [7]. The failure detector plays a key role in a fault-tolerant system [8]. By periodically detecting the status of nodes in systems, it can provide information to achieve routing recovery, application deployment, real-time communication, etc. Thus, the high availability of VANETs can be guaranteed. An effective failure detector can provide information regarding suspected nodes in a timely and accurate manner so that correction actions can be performed as soon as possible. At present, there are numerous studies related to failure detectors in distributed systems [9]–[13].