ARTICLE | doi:10.20944/preprints202009.0132.v1
Subject: Computer Science And Mathematics, Information Systems Keywords: V2X; vehicle-to-network; blockchain; distributed registry; data protection; network; decentralized systems
Online: 5 September 2020 (08:21:40 CEST)
Over the past decade, wireless communication technologies have developed significantly for intelligent applications in road transport. This paper provides an overview of telecommunications-based intelligent transport systems with a focus on ensuring system safety and resilience. In vehicle-to-everything, these problems are extremely acute due to the specifics of the operation of transport networks, which requires the use of special protection mechanisms. In this regard, it was decided to use blockchain as a system platform to support the needs of transport systems for secure information exchange. This paper describes the technological aspects of implementing blockchain technology in vehicle-to-network; the features of such technology are presented, as well as the features of their interaction.
ARTICLE | doi:10.20944/preprints201904.0281.v1
Subject: Computer Science And Mathematics, Information Systems Keywords: Cluster computing, Big Data, Spark, Hadoop.
Online: 25 April 2019 (11:22:27 CEST)
The article provides detailed information about the new technologies based on cluster computing Hadoop and Apache Spark. The experimental task of processing logistic regression with the help of these technologies is considered. The findings on the comparison of the performance of cluster computing of Hadoop and Apache Spark are revealed and substantiated.
ARTICLE | doi:10.20944/preprints202112.0204.v1
Subject: Engineering, Electrical And Electronic Engineering Keywords: vehicular network; VANET; vehicle-to-everything; mobile edge computing; blockchain
Online: 13 December 2021 (13:19:39 CET)
As V2X technology develops, acute problems related to reliable and secure information exchange between network objects in real time appear. The article aims to solve the scientific problem of building a network architecture for reliable delivery of correct and uncompromised data within the V2X concept to improve the safety of road users, using blockchain technology and mobile edge computing (MEC). The authors present a formalized mathematical model of the system, taking into account the interconnection of objects and V2X information channels, and an energy-efficient algorithm of traffic offloading to the MEC server. The paper presents the results of application of blockchain technologies and mobile edge computing in the developed system, their description, evaluation of advantages and disadvantages of the implementation.
ARTICLE | doi:10.20944/preprints201812.0029.v2
Subject: Computer Science And Mathematics, Information Systems Keywords: VANET; software-defined networking; mobile edge computing
Online: 5 December 2018 (12:26:50 CET)
VANET networks are a class of peer-to-peer wireless networks that are used to organize communication between cars (V2V), cars and infrastructure (V2I) and between cars and other types of nodes (V2X). These networks are based on the DSRC, 802.11 standards and are mainly intended for organizing the exchange of various types of messages, mainly emergency ones, to prevent road accidents or alert when road accident occur, or control the priority of the driveway. Initially it was assumed that cars would only interact with each other, but later, with the advent of the concept of Internet of things (IoT). Researchers began to analyze connectivity with other devices, which in general will allow to combine various road users and other devices that can used in the creation of intelligent transport infrastructure in a single smart city management system. Infrastructure is necessary for the provision of services, monitoring and management of the VANET network. As infrastructure objects it is proposed to use stationary objects of Roadside unit (RSU). The aim of this paper is to analyze the use of mobile edge computing to decrease the load to the base station and latency between RSU clouds and provide a real experiment using software defined networking and mobile edge computing for RSU.