scholarly journals Data Dissemination Based on Fuzzy Logic and Network Coding in Vehicular Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-16 ◽  
Author(s):  
Xiaolan Tang ◽  
Zhi Geng ◽  
Wenlong Chen ◽  
Mojtaba Moharrer
Keyword(s):  
Fuzzy Logic ◽  
Network Coding ◽  
Vehicular Networks ◽  
Data Dissemination ◽  
Smart Cities ◽  
High Reliability ◽  
Transportation Systems ◽  
Delivery Ratio ◽  
Velocity Change ◽  
Backbone Network

Vehicular networks, as a significant technology in intelligent transportation systems, improve the convenience, efficiency, and safety of driving in smart cities. However, because of the high velocity, the frequent topology change, and the limited bandwidth, it is difficult to efficiently propagate data in vehicular networks. This paper proposes a data dissemination scheme based on fuzzy logic and network coding for vehicular networks, named SFN. It uses fuzzy logic to compute a transmission ability for each vehicle by comprehensively considering the effects of three factors: the velocity change rate, the velocity optimization degree, and the channel quality. Then, two nodes with high abilities are selected as primary backbone and slave backbone in every road segment, which propagate data to other vehicles in this segment and forward them to the backbones in the next segment. The backbone network helps to increase the delivery ratio and avoid invalid transmissions. Additionally, network coding is utilized to reduce transmission overhead and accelerate data retransmission in interbackbone forwarding and intrasegment broadcasting. Experiments show that, compared with existing schemes, SFN has a high delivery ratio and a short dissemination delay, while the backbone network keeps high reliability.

scholarly journals Exploiting Mobile Edge Computing for Enhancing Vehicular Applications in Smart Cities

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1073 ◽  
Author(s):  
Hesham El-Sayed ◽  
Moumena Chaqfeh
Keyword(s):  
Traffic Safety ◽  
Intelligent Transportation Systems ◽  
Vehicular Networks ◽  
Data Dissemination ◽  
Smart Cities ◽  
Transportation Systems ◽  
Edge Computing ◽  
Communication Overhead ◽  
Mobile Edge Computing ◽  
Communication Frameworks

Mobile edge computing (MEC) has been recently proposed to bring computing capabilities closer to mobile endpoints, with the aim of providing low latency and real-time access to network information via applications and services. Several attempts have been made to integrate MEC in intelligent transportation systems (ITS), including new architectures, communication frameworks, deployment strategies and applications. In this paper, we explore existing architecture proposals for integrating MEC in vehicular environments, which would allow the evolution of the next generation ITS in smart cities. Moreover, we classify the desired applications into four major categories. We rely on a MEC architecture with three layers to propose a data dissemination protocol, which can be utilized by traffic safety and travel convenience applications in vehicular networks. Furthermore, we provide a simulation-based prototype to evaluate the performance of our protocol. Simulation results show that our proposed protocol can significantly improve the performance of data dissemination in terms of data delivery, communication overhead and delay. In addition, we highlight challenges and open issues to integrate MEC in vehicular networking environments for further research.

Modified fuzzy-based greedy routing protocol for VANETs

2020 ◽  
Vol 39 (6) ◽  
pp. 8357-8364
Author(s):  
Thompson Stephan ◽  
Ananthnarayan Rajappa ◽  
K.S. Sendhil Kumar ◽  
Shivang Gupta ◽  
Achyut Shankar ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Routing Protocol ◽  
Intelligent Transportation Systems ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Research Area ◽  
Transportation Systems ◽  
Delivery Ratio ◽  
Greedy Routing ◽  
Hoc Networks

Vehicular Ad Hoc Networks (VANETs) is the most growing research area in wireless communication and has been gaining significant attention over recent years due to its role in designing intelligent transportation systems. Wireless multi-hop forwarding in VANETs is challenging since the data has to be relayed as soon as possible through the intermediate vehicles from the source to destination. This paper proposes a modified fuzzy-based greedy routing protocol (MFGR) which is an enhanced version of fuzzy logic-based greedy routing protocol (FLGR). Our proposed protocol applies fuzzy logic for the selection of the next greedy forwarder to forward the data reliably towards the destination. Five parameters, namely distance, direction, speed, position, and trust have been used to evaluate the node’s stability using fuzzy logic. The simulation results demonstrate that the proposed MFGR scheme can achieve the best performance in terms of the highest packet delivery ratio (PDR) and minimizes the average number of hops among all protocols.

scholarly journals A Distance-Vector-Based Multi-Path Routing Scheme for Static-Node-Assisted Vehicular Networks

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2688 ◽  
Author(s):  
Daichi Araki ◽  
Takuya Yoshihiro
Keyword(s):  
Vehicular Networks ◽  
Vehicular Ad Hoc Networks ◽  
Data Dissemination ◽  
Low Cost ◽  
Shortest Paths ◽  
Network Capacity ◽  
Traffic Volume ◽  
Delivery Ratio ◽  
Routing Metric ◽  
Distance Vector

Vehicular Ad hoc NETworks (VANET) has been well studied for a long time as a means to exchange information among moving vehicles. As vehicular networks do not always have connected paths, vehicular networks can be regarded as a kind of delay-tolerant networks (DTNs) when the density of vehicles is not high enough. In this case, packet delivery ratio degrades significantly so that reliability of networks as an information infrastructure is hardly held. Past studies such as SADV (Static-node Assisted Data dissemination protocol for Vehicular networks) and RDV (Reliable Distance-Vector routing) showed that the assistance of low-cost unwired static nodes located at intersections, which work as routers to provide distance-vector or link-state routing functions, significantly improves the communication performance. However, they still have problems: SADV does not provide high-enough delivery ratio and RDV suffers from traffic concentration on the shortest paths. In this paper, we propose MP-RDV (Multi-Path RDV) by extending RDV with multiple paths utilization to improve performance against both of those problems. In addition, we apply a delay routing metric, which is one of the major metrics in this field, to RDV to compare performance with the traffic-volume metric, which is a built-in metric of RDV. Evaluation results show that MP-RDV achieves high load-balancing performance, larger network capacity, lower delivery delay, and higher fault tolerance against topology changes compared to RDV. As for routing metrics, we showed that the traffic-volume metric is better than the delay one in RDV because delay measurement is less stable against traffic fluctuation.

scholarly journals A Fuzzy Logic Supported Multi-Agent System For Urban Traffic And Priority Link Control

2021 ◽  
Vol 27 (10) ◽  
pp. 1026-1045
Author(s):  
Abdelouafi Ikidid ◽  
Abdelaziz El Fazziki ◽  
Mohammed Sadgal
Keyword(s):  
Fuzzy Logic ◽  
Road Traffic ◽  
Smart Cities ◽  
Transportation Systems ◽  
Urban Traffic ◽  
Regulation System ◽  
Traffic Light ◽  
The Road ◽  
Traffic Regulation ◽  
Communication And Coordination

Artificial technologies are rapidly becoming one of the most powerful and popular technologies for solving complicated problems involving distributed systems. Nevertheless, their potential for application to advanced artificial transportation systems has not been sufficiently explored. This paper presents a traffic optimization system based on agent technology and fuzzy logic that aims to manage road traffic, prioritize emergency vehicles, and promote collective modes of transport in smart cities. This approach aims to optimize traffic light control at a signalized intersection by acting on the length and order of traffic light phases in order to favor priority flows and fluidize traffic at an isolated intersection and for the whole multi-intersection network, through both inter- and intra-intersection collaboration and coordination. Regulation and prioritization decisions are made on real-time monitoring through cooperation, communication, and coordination between decentralized agents. The performance of the proposed system is investigated by implementing it in the AnyLogic simulator, using a section of the road network that contains priority links. The results indicate that our system can significantly increase the efficiency of the traffic regulation system.

scholarly journals Authentication-Based Secure Data Dissemination Protocol and Framework for 5G-Enabled VANET

2020 ◽  
Vol 12 (4) ◽  
pp. 63
Author(s):  
Nishu Gupta ◽  
Ravikanti Manaswini ◽  
Bongaram Saikrishna ◽  
Francisco Silva ◽  
Ariel Teles
Keyword(s):  
Automobile Industry ◽  
Intelligent Transportation Systems ◽  
Data Dissemination ◽  
Smart Cities ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
The Internet ◽  
Vehicular Communication ◽  
Security Attacks ◽  
Architecture Model

The amalgamation of Vehicular Ad hoc Network (VANET) with the Internet of Things (IoT) leads to the concept of the Internet of Vehicles (IoV). IoV forms a solid backbone for Intelligent Transportation Systems (ITS), which paves the way for technologies that better explain about traffic efficiency and their management applications. IoV architecture is seen as a big player in different areas such as the automobile industry, research organizations, smart cities and intelligent transportation for various commercial and scientific applications. However, as VANET is vulnerable to various types of security attacks, the IoV structure should ensure security and efficient performance for vehicular communications. To address these issues, in this article, an authentication-based protocol (A-MAC) for smart vehicular communication is proposed along with a novel framework towards an IoV architecture model. The scheme requires hash operations and uses cryptographic concepts to transfer messages between vehicles to maintain the required security. Performance evaluation helps analyzing its strength in withstanding various types of security attacks. Simulation results demonstrate that A-MAC outshines other protocols in terms of communication cost, execution time, storage cost, and overhead.

scholarly journals Compressed fuzzy logic based multi-criteria AODV routing in VANET environment

2019 ◽  
Vol 9 (1) ◽  
pp. 397 ◽  
Author(s):  
Taqwa Oday Fahad ◽  
Abduladhem A. Ali
Keyword(s):  
Fuzzy Logic ◽  
Intelligent Transportation Systems ◽  
Traffic Management ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Transportation Systems ◽  
Delivery Ratio ◽  
On Demand ◽  
Time Interaction ◽  
Demand Routing

Vehicular ad hoc networks (VANETs) are the core of intelligent transportation systems (ITS) to obtain safety, better transportation services, and improved traffic management. Providing more reliable and efficient on demand routing protocol is one of the main challenges in these networks research scope. This paper argues a compressed fuzzy logic based method to enhance Ad hoc on demand distance vector (AODV) routing decision by jointly considering number of relays, distance factor, direction angle, and vehicles speed variance. The proposed scheme is simulated in both freeway and urban scenarios with different number of vehicles using real time interaction between both OMNet++ and SUMO simulators. Simulation results show that the proposed approach can get better performance in terms of packet delivery ratio, throughput, mean delay, and number of sent control packets.

scholarly journals UAV‐assisted data dissemination based on network coding in vehicular networks

2021 ◽  
Author(s):  
Shidong Huang ◽  
Chuanhe Huang ◽  
Yabo Yin ◽  
Dongfang Wu ◽  
M. Wasim Abbas Ashraf ◽  
...  
Keyword(s):  
Network Coding ◽  
Vehicular Networks ◽  
Data Dissemination

Mobility Trace Analysis for Intelligent Vehicular Networks

2021 ◽  
Vol 54 (3) ◽  
pp. 1-38
Author(s):  
Clayson Celes ◽  
Azzedine Boukerche ◽  
Antonio A. F. Loureiro
Keyword(s):  
Large Volume ◽  
Vehicular Networks ◽  
Smart Cities ◽  
Data Communication ◽  
Transportation Systems ◽  
Data Driven ◽  
Mobility Data ◽  
Spatiotemporal Information ◽  
Research Problems ◽  
Hidden Knowledge

Intelligent vehicular networks emerge as a promising technology to provide efficient data communication in transportation systems and smart cities. At the same time, the popularization of devices with attached sensors has allowed the obtaining of a large volume of data with spatiotemporal information from different entities. In this sense, we are faced with a large volume of vehicular mobility traces being recorded. Those traces provide unprecedented opportunities to understand the dynamics of vehicular mobility and provide data-driven solutions. In this article, we give an overview of the main publicly available vehicular mobility traces; then, we present the main issues for preprocessing these traces. Also, we present the methods used to characterize and model mobility data. Finally, we review existing proposals that apply the hidden knowledge extracted from the mobility trace for vehicular networks. This article provides a survey on studies that use vehicular mobility traces and provides a guideline for the proposition of data-driven solutions in the domain of vehicular networks. Moreover, we discuss open research problems and give some directions to undertake them.

Data Dissemination in Vehicular Networks

2012 ◽  
pp. 271-297
Author(s):  
Nitin Maslekar ◽  
Mounir Boussedjra ◽  
Houda Labiod ◽  
Joseph Mouzna
Keyword(s):  
Ad Hoc Networks ◽  
Intelligent Transportation Systems ◽  
Vehicular Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Data Dissemination ◽  
Transportation Systems ◽  
Communications Systems ◽  
Effective Dissemination ◽  
Hoc Networks

Vehicular ad hoc networks (VANETs) represent an important component necessary to develop Intelligent Transportation Systems. Recent advances in communications systems have created significant opportunities for a wide variety of applications and services to be implement in vehicles. Most of these applications require a certain dissemination performance to work satisfactorily. Although a variety of optimizations are possible, the basic idea for any dissemination scheme is to facilitate the acquisition of the knowledge about the surrounding vehicles. However, the dynamic nature of vehicular networks makes it difficult to achieve an effective dissemination among vehicles. This chapter provides an overview on those challenges and presents various approaches to disseminate data in vehicular networks.

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