روش ردیابی خودرو بهبود یافته برای IEEE 802:11p
سال انتشار: 2019 - تعداد صفحات فایل pdf انگلیسی: 5 - تعداد صفحات فایل doc فارسی: 10
توسعه روش های موقعیت یابی با قابلیت تحرک- بالا با استفاده از استاندارد IEEE 802.11p در شبکه های ادهاک وسایل نقلیه (VANETs) به دلیل نقاط ضعف در ناحیه های GNSS-dark مانند جنگل ها، تونل و غیره، و اشتباهات ناشی از GNSS-dark در نتایج ، ضروری است. برآورد زمان دقیق رسیدن(TOA) مبتنی بر مدل مسافت یابی ، به عنوان یکی از چالش های سیستم پیشگیری از برخورد اتومبیل ها، توجه زیادی را به خود جلب است. در این مقاله، روش پیشنهادی TOA یا روش تخمین مسافت با راهنمای کوتاه IEEE 802.11p پیشنهاد شد تا اثربخشی اندازه گیری های وسایل نقلیه چندکاره و نسبت نویز سیگنال کم (SNR) را کاهش دهد. ابتدا، TOA با استفاده از همبستگی خودکار و همبستگی-متقاطع برآورد شد. سپس، رویکرد sum برای یافتن مبدا دقیق زمان ارائه شد. نتایج شبیه سازی در کانال اتحادیه بین المللی مخابرات خودرو (ITUA) و کانال نویز گاوسی سفید افزایشی (AWGN)، برتری الگوریتم پیشنهادی را در شرایط SNR کم و محیط چندکاره ثابت می کند.
کليدواژه: برآورد TOA | IEEE 802.11p | VANETS | دامنه | همبستگی خودکار | همبستگی- متقابل
|مقاله ترجمه شده|
Prediction-based protocols for vehicular Ad Hoc Networks: Survey and taxonomy
پروتکل های مبتنی بر پش بینی برای شبکه های تک کاره وسیله ای: بررسی و طبقه بندی-2018
The high mobility of vehicles as a major characteristic of Vehicular Ad Hoc Networks (VANETs) affects vividly the dynamic nature of the networks and results in additional overhead in terms of extra messages and time delay. The future movements of the vehicles are usually predictable. The predictability of the vehicles future movements is a result of the traffic conditions, the urban layout, and the driving requirements to observe the traffic constrains. Hence, predicting these future movements could play a considerable role for both building reliable vehicular communication protocols and solving several issues of intelligent transportation systems. In the literature, numerous prediction-based protocols are presented for VANETs. Therefore, this paper follows the guidelines of systematic literature reviews to provide a premier and unbiased survey of the existing prediction-based protocols and develop novel taxonomies of those protocols based on their main prediction applications and objectives. A discussion on each category of both taxonomies is presented, with a focus on the requirements, constrains, and challenges. Moreover, usage analysis and performance comparisons are investigated in order to derive the suitability of each prediction objective to the various applications. Also, the relevant challenges and open research areas are identified to guide the potential new directions of prediction-based research in VANETs. Throughout this paper, information is provided to developers and researchers to grasp the major contributions and challenges of the predictive protocols in order to pave the way for enhancing their reliability and robustness in VANETs.
keywords: Prediction Applications| Prediction Objectives| Prediction Techniques| Research| VANETs
IoV distributed architecture for real-time traffic data analytics
معماری توزیع شده IoV را برای تحلیل داده های ترافیک در زمان واقعی-2018
In this paper, we present necessary premises for the deployment of the Internet of Vehicles (IoV) integrating Big Data analytics of road network traffic measurements of the city of Mohammedia, Morocco. Thus, we introduce an architecture based on three main layers such as IoV, Fog Computing and Cloud Computing Layer. We specifically put more focus on Fog Computing layer in which we develop a framework for a real-time collecting and processing events generated by intelligent vehicles as well as visualizing traffic state on each road section. Furthermore, we consider deployment and test of the proposed framework using events retrieved from a Vanets-type micro simulation. Finally, we present and discuss the first obtained results as well as the advantages and limitations of the proposed architecture.
Keywords: IoV, Big Data analytics, Fog computing, Real-time data analytics, Traffic control
Internet of Vehicles in Big Data Era
اینترنت وسایل نقلیه در عصر داده های بزرگ-2018
As the rapid development of automotive telematics, modern vehicles are expected to be connected through heterogeneous radio access technologies and are able to exchange massive information with their surrounding environment. By significantly expanding the network scale and conducting both real-time and long-term information processing, the traditional Vehicular AdHoc Networks (VANETs) are evolving to the Internet of Vehicles (IoV), which promises efficient and intelligent prospect for the future transportation system. On the other hand, vehicles are not only consuming but also generating a huge amount and enormous types of data, which is referred to as Big Data. In this article, we first investigate the relationship between IoV and big data in vehicular environment, mainly on how IoV supports the transmission, storage, computing of the big data, and how IoV benefits from big data in terms of IoV characterization, performance evaluation and big data assisted communication protocol design. We then investigate the application of IoV big data in autonomous vehicles. Finally, the emerging issues of the big data enabled IoV are discussed.
Index Terms: Autonomous vehicles, big data, big data applications, data communication, IoV, vehicular networks
A survey on authentication schemes in VANETs for secured communication
یک نظرسنجی در مورد طرح های تأیید هویت در VANET برای برقراری ارتباط امن-2017
Article history:Received 5 January 2016Received in revised form 5 January 2017 Accepted 23 February 2017Available online 2 March 2017Keywords:Vehicular Ad Hoc Networks (VANETs) Dedicated Short Range Communications (DSRC)Vehicle to Vehicle (V2V) Vehicle to Infrastructure (V2I) SecurityAuthenticationA vehicular Ad Hoc Network (VANET) is a class of mobile ad hoc network (MANET) which supports, vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) communications. The signiﬁcant features of VANET includes, self-organization, distributed networking, and highly dynamic topology. The VANET features and its applications to road safety have attracted a lot of interest in industry and academia more so into the research on improvement of transportation systems for saving millions of lives. The transmission of messages in open-access environment like VANET leads to the most critical and challenging security issues. Authentication, data conﬁdentiality, data integrity, data availability, and non- repudiation are crucial components of security in VANET. This paper focuses on the authentication schemes in VANET as it plays a important role in secured communication. The authentication schemes are basically classiﬁed into three categories: cryptography techniques, digital signatures, and message veriﬁcation techniques. The main objective of this paper is to provide a taxonomy of authentication schemes, and discuss their mechanisms, advantages, disadvantages, performance and scope of research. Furthermore, the paper concludes with presentation of open security issues in VANET authentication. 2017 Elsevier Inc. All rights reserved.
Keywords:VehicularAd Hoc Networks (VANETs) | Dedicated Short Range Communications (DSRC) | Vehicle to Vehicle (V2V) | Vehicle to Infrastructure (V2I) | Security | Authentication
VANet security challenges and solutions: A survey
چالش ها و راه حل های امنیتی VANet: یک نظرسنجی-2017
Article history:Received 16 September 2016Received in revised form 28 November 2016 Accepted 20 January 2017Available online 27 January 2017Keywords:VANETSecurity challenges Attacks classiﬁcation V2V communication Security solutionsVANET is an emergent technology with promising future as well as great challenges especially in its security. In this paper, we focus on VANET security frameworks presented in three parts. The ﬁrst presents an extensive overview of VANET security characteristics and challenges as well as requirements. These requirements should be taken into consideration to enable the implementation of secure VANET infrastructure with eﬃcient communication between parties. We give the details of the recent security architectures and the well-known security standards protocols. The second focuses on a novel classiﬁcation of the different attacks known in the VANET literature and their related solutions. The third is a comparison between some of these solutions based on well-known security criteria in VANET. Then we draw attention to different open issues and technical challenges related to VANET security, which can help researchers for future use. 2017 Elsevier Inc. All rights reserved.
Keywords:VANET | Security challenges | Attacks classification | V2V communication | Security solutions
Privacy conserving low volume information retrieval from backbone services in VANETs
بازیابی اطلاعات کم حجم و جلوگیری از صدمه زدن به حریم خصوصی از خدمات ستون فقرات در شبکه های VANET-2017
Article history:Received 6 October 2016Received in revised form 4 February 2017 Accepted 23 February 2017Available online 1 March 2017Keywords:VANETPrivacy SecurityMobile ad hoc networks are of high interest in research and practice, especially as realizations in the automotive domain. Wireless data exchange, safety critical use cases and privacy requirements impose tough challenges on applied security mechanisms. Well studied solutions are available for direct communication between nodes. However, also time critical data retrieval from backbone services is required for many use cases, like the delivery of pseudonym certiﬁcates. This topic has not been looked at in detail in prior work. We show that the approach proposed in standards bears signiﬁcant drawbacks. High effort in the input message validation process causes a denial of service weakness of backbone services. Moreover, request messages contain removable data sets making them unnecessarily long, which leads to high bandwidth requirements for reliable communication between backbone and mobile node. Thus, we propose a new data retrieval scheme increasing robustness of the backbone to denial of service attacks and decreasing length of nodes’ request messages. The conducted evaluation shows good usability of the approach. 2017 Elsevier Inc. All rights reserved.
Keywords:VANET | Privacy | Security
Using discriminant analysis to detect intrusions in external communication for self-driving vehicles
با استفاده از تجزیه و تحلیل تجزیه و تفکیک برای تشخیص نفوذ در ارتباط خارجی برای وسایل نقلیه خود رانندگی-2017
Security systems are a necessity for the deployment of smart vehicles in our society. Security in vehicular ad hoc networks is crucial to the reliable exchange of information and control data. In this paper, we propose an intelligent Intrusion Detection System (IDS) to protect the external communication of self-driving and semi self-driving vehicles. This technology has the ability to detect Denial of Service (DoS) and black hole attacks on vehicular ad hoc networks (VANETs). The advantage of the proposed IDS over existing security systems is that it detects attacks before they causes significant damage. The intrusion prediction technique is based on Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA) which are used to predict attacks based on observed vehicle behavior. We perform simulations using Network Simulator 2 to demonstrate that the IDS achieves a low rate of false alarms and high accuracy in detection.
Keywords: Secure communication | Vehicle ad hoc networks | IDS | Self-driving vehicles | Linear and quadratic discriminant analysis
PIaaS: Cloud-oriented secure and privacy-conscious parking information as a service using VANETs
PIaaS: اطلاعات پارکینگ امن و حریم خصوصی به عنوان یک سرویس با استفاده از VANET ها-2017
In this paper, we present a VANET-oriented cloud framework more explicitly as VANET commissioning clouds and propose a novel security and privacy-conscious service termed as Parking Information as a Service (PIaaS) employing VANET-oriented clouds. PIaaS offers more elegant parking information from cloud infrastructure to vehicular nodes in a security and privacy-conscious manner. The authentic vehic ular nodes (verified by the Traffic Management Bureau (TMB)) along with Parking Side Units (PSUs) com municate their frequent parking information termed as Parking Mobility Vectors (PMVs) with the cloud infrastructure through the Road Side Units (RSUs) named as Communication Terminals (CTs). The CTs forward the inelegant parking information (PMVs) from vehicular nodes to the cloud system, while af ter processed by the cloud infrastructure in coordination with PSUs construct and transmit more elegant parking information towards the respective physical location of the vehicular nodes. All the communica tion and exchange of parking information between cloud infrastructure and vehicular nodes is handled in a privacy-conscious anonymous way. It is hard to linkage PMVs to certain vehicular nodes for some kind of information leakage or exploitation. The proposed PIaaS scheme using identity-less PMVs that protects movement profiles of the vehicular nodes from the exploitation of both insider and outsider at tacks. Moreover, we proposed a novel geo-location-based parking lock encryption mechanism for location privacy and non-frameability. The cooperation among vehicular nodes, PSUs, and the cloud infrastructure is not only limited to the parking information dissemination but it also provides various kind of useful services such as route-based traffic congestion reports, vehicle theft control, and malicious vehicle detec tion. The cloud-oriented centralized information storage of the PMVs is very much helpful for analysis and forensics by TMB. In a nutshell, cloud infrastructure process the Big Parking Data (BPD) and yields the most significant parking information in a dynamic, pertinent, privacy and confidentiality preserved manner.
Keywords: VANET | Cloud computing | Vehicular clouds | Security | Privacy-conscious | Parking information
Reducing waiting time with parallel preemptive algorithm in VANETs
کاهش زمان انتظار با الگوریتم پیشگیرانه موازی در VANETs-2017
Improper functioning of traffic signals at the intersections result in extreme congestion leading to increase in overall journey time and wastage of precious fuel. Various algorithms have been proposed in literature for alleviating the problem of congestion. Fixed-time, non-preemptive and preemptive approaches work towards reduction of queue length at the intersections to decrease the overall waiting time on roads. High traffic volume on the road results in large queue length which takes huge amount of time to process using a single processor. Hence, there is a need for fast processing which can be obtained by parallelizing the algorithm. This paper proposes a parallel preemptive algorithm to reduce the average queue length resulting in decrease of overall waiting time. The implementation of parallel algorithm is done using Compute Unified Device Architecture (CUDA) by harnessing the power of Graphical Processing Units (GPUs). The performance of the proposed parallel preemptive algorithm is compared with fixed-time, non-preemptive and preemptive approaches. Obtained results show the reduction in queue length in case of the proposed algorithm which is also confirmed using T-test with 99% confidence.
Keywords: Vehicular Ad-hoc Networks (VANETs) | Preemptive signals | Fixed-time signals | Average queuing length | Parallel computing | GPU