scholarly journals Low Delay Inter-Packet Coding in Vehicular Networks

2019 ◽  
Vol 11 (10) ◽  
pp. 212 ◽  
Author(s):  
Irina Bocharova ◽  
Boris Kudryashov ◽  
Nikita Lyamin ◽  
Erik Frick ◽  
Maben Rabi ◽  
...  
Keyword(s):  
Intelligent Transportation Systems ◽  
Error Control ◽  
Vehicular Networks ◽  
Convolutional Codes ◽  
Low Complexity ◽  
Transportation Systems ◽  
Ieee 802.11P ◽  
Coding Scheme ◽  
Point To Point ◽  
Binary Erasure Channel

In Cooperative Intelligent Transportation Systems (C-ITSs), vehicles need to wirelessly connect with Roadside units (RSUs) over limited durations when such point-to-point connections are possible. One example of such communications is the downloading of maps to the C-ITS vehicles. Another example occurs in the testing of C-ITS vehicles, where the tested vehicles upload trajectory records to the roadside units. Because of real-time requirements, and limited bandwidths, data are sent as User Datagram Protocol (UDP) packets. We propose an inter-packet error control coding scheme that improves the recovery of data when some of these packets are lost; we argue that the coding scheme has to be one of convolutional coding. We measure performance through the session averaged probability of successfully delivering groups of packets. We analyze two classes of convolution codes and propose a low-complexity decoding procedure suitable for network applications. We conclude that Reed–Solomon convolutional codes perform better than Wyner–Ash codes at the cost of higher complexity. We show this by simulation on the memoryless binary erasure channel (BEC) and channels with memory, and through simulations of the IEEE 802.11p DSRC/ITS-G5 network at the C-ITS test track AstaZero.

802.11p-Based VANET Applications Improving Road Safety and Traffic Management

2016 ◽  
pp. 135-168
Author(s):  
Lambros Sarakis ◽  
Theofanis Orphanoudakis ◽  
Periklis Chatzimisios ◽  
Aristotelis Papantonis ◽  
Panagiotis Karkazis ◽  
...  
Keyword(s):  
Traffic Control ◽  
Intelligent Transportation Systems ◽  
Road Safety ◽  
Traffic Management ◽  
Vehicular Networks ◽  
Life Quality ◽  
Road Transport ◽  
Transportation Systems ◽  
Ieee 802.11P ◽  
Wireless Communication Protocol

In the last few years Intelligent Transportation Systems (ITS) based on wireless vehicular networks have been attracting interest, since they can contribute towards improving road transport safety and efficiency and ameliorate environmental conditions and life quality. In order to widely spread these technologies, standardization at each layer of the networking protocol stacks has to be done. Therefore, a suite of protocols along with the architecture for the wireless environments with vehicles has been developed and standardized. Both in the US as well as in Europe the selected wireless communication protocol has been the 802.11p protocol developed by the IEEE. In this chapter, we discuss the potential impact of ITS towards achieving the above targets of improving road safety and traffic control. We review the overall architecture and the protocol functionality and present in detail a number of applications that have been developed demonstrating selected use-cases on an 802.11p compliant system prototype. Specifically, we discuss the implementation of selected applications on the NEC's Linkbird-MX platform, which supports IEEE 802.11p based communications, showing how its functionality can be exploited to build efficient road safety and traffic management applications, and evaluate the performance of the system using an experimental testbed.

An 802.11p Compliant System Prototype Supporting Road Safety and Traffic Management Applications

2014 ◽  
Vol 3 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Helen C. Leligou ◽  
Periklis Chatzimisios ◽  
Lambros Sarakis ◽  
Theofanis Orphanoudakis ◽  
Panagiotis Karkazis ◽  
...  
Keyword(s):  
Intelligent Transportation Systems ◽  
Road Safety ◽  
Traffic Management ◽  
Life Quality ◽  
Road Transport ◽  
Transportation Systems ◽  
Ieee 802.11P ◽  
Practical Implementation ◽  
Communication Devices ◽  
The Right

During the last decades Intelligent Transportation Systems (ITS) have been attracting the interest of an increasing number of researchers, engineers and entrepreneurs, as well as citizens and civil authorities, since they can contribute towards improving road transport safety and efficiency and ameliorate environmental conditions and life quality. Emerging technologies yield miniaturized sensing, processing and communication devices that enable a high degree of integration and open the way for a large number of smart applications that can exploit automated fusion of information and enable efficient decisions by collecting, processing and communicating a large number of data in real-time. The cornerstone of these applications is the realization of an opportunistic wireless communication system between vehicles as well as between vehicles and infrastructure over which the right piece of information reaches the right location on time. In this paper, the authors present the design and implementation of representative safety and traffic management applications. Specifically the authors discuss the hardware and software requirements presenting a use case based on the NEC Linkbird-MX platform, which supports IEEE 802.11p based communications. The authors show how the functionality of IEEE 802.11p can be exploited to build efficient road safety and traffic management applications over mobile opportunistic systems and discuss practical implementation issues.

scholarly journals A Survey on Fault Tolerance Techniques for Wireless Vehicular Networks

Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1358 ◽  
Author(s):  
João Almeida ◽  
João Rufino ◽  
Muhammad Alam ◽  
Joaquim Ferreira
Keyword(s):  
Fault Tolerance ◽  
Intelligent Transportation Systems ◽  
Vehicular Networks ◽  
Road Traffic ◽  
Fault Tolerant ◽  
Human Life ◽  
Transportation Systems ◽  
Vehicular Communications ◽  
Self Driving Cars ◽  
Meta Analyses

Future intelligent transportation systems (ITS) hold the promise of supporting the operation of safety-critical applications, such as cooperative self-driving cars. For that purpose, the communications among vehicles and with the road-side infrastructure will need to fulfil the strict real-time guarantees and challenging dependability requirements. These safety requisites are particularly important in wireless vehicular networks, where road traffic presents several threats to human life. This paper presents a systematic survey on fault tolerance techniques in the area of vehicular communications. The work provides a literature review of publications in journals and conferences proceedings, available through a set of different search databases (IEEE Xplore, Web of Science, Scopus and ScienceDirect). A systematic method, based on the preferred reporting items for systematic reviews and meta-analyses (PRISMA) Statement was conducted in order to identify the relevant papers for this survey. After that, the selected articles were analysed and categorised according to the type of redundancy, corresponding to three main groups (temporal, spatial and information redundancy). Finally, a comparison of the core features among the different solutions is presented, together with a brief discussion regarding the main drawbacks of the existing solutions, as well as the necessary steps to provide an integrated fault-tolerant approach to the future vehicular communications systems.

Vehicular Networks to Intelligent Transportation Systems

2018 ◽  
pp. 297-315 ◽  
Author(s):  
Felipe Cunha ◽  
Guilherme Maia ◽  
Heitor S. Ramos ◽  
Bruno Perreira ◽  
Clayson Celes ◽  
...  
Keyword(s):  
Intelligent Transportation Systems ◽  
Vehicular Networks ◽  
Intelligent Transportation ◽  
Transportation Systems

Hamming Product Code Based Multiple Bit Error Correction Coding Scheme Using Keyboard Scan Based Decoding for on Chip Interconnects Links

2012 ◽  
Vol 241-244 ◽  
pp. 2457-2461 ◽  
Author(s):  
Murali Maheswari ◽  
Gopalakrishnan Seetharaman
Keyword(s):  
Error Correction ◽  
Error Rate ◽  
Iterative Decoding ◽  
Error Control ◽  
Low Complexity ◽  
Hardware Complexity ◽  
Error Correction Coding ◽  
Product Code ◽  
Coding Scheme ◽  
On Chip

In this paper, we present multiple bit error correction coding scheme using extended Hamming product code combined with type II HARQ and keyboard scan based error flipping to correct multiple bit errors for on chip interconnect. The keyboard scan based error flipping reduces the hardware complexity of the decoder compared to the existing three stages iterative decoding method for on chip interconnects. The proposed method of decoding achieves 86% of reduction in area and 23% of reduction in decoder delay with only small increase in residual flit error rate compared to the existing three stage iterative decoding scheme for multiple bit error correction. The proposed code also achieves excellent improvement in residual flit error rate and up to 66% of links power consumption compared to the other error control schemes. The low complexity and excellent residual flit error rate make the proposed code suitable for on chip interconnection links.

Information Fusion for Localization Within Vehicular Networks

2011 ◽  
Vol 64 (3) ◽  
pp. 401-416 ◽  
Author(s):  
Mahmoud Efatmaneshnik ◽  
Allison Kealy ◽  
Asghar Tabatabei Balaei ◽  
Andrew G. Dempster
Keyword(s):  
Intelligent Transportation Systems ◽  
Vehicular Networks ◽  
Transportation Systems ◽  
Cooperative Positioning ◽  
Dedicated Short Range Communications ◽  
Location Determination ◽  
Moving Vehicles ◽  
Map Data ◽  
Safety Applications ◽  
Navigation Information

Cooperative positioning (CP) is a localization technique originally developed for use across wireless sensor networks. With the emergence of Dedicated Short Range Communications (DSRC) infrastructure for use in Intelligent Transportation Systems (ITS), CP techniques can now be adapted for use in location determination across vehicular networks. In vehicular networks, the technique of CP fuses GPS positions with additional sensed information such as inter-vehicle distances between the moving vehicles to determine their location within a neighbourhood. This paper presents the results obtained from a research study undertaken to demonstrate the capabilities of DSRC for meeting the positioning accuracies of road safety applications. The results show that a CP algorithm that fully integrates both measured/sensed data as well as navigation information such as map data can meet the positioning requirements of safety related applications of DSRC (<0·5 m). This paper presents the results of a Cramer Rao Lower Bound analysis which is used to benchmark the performance of the CP algorithm developed. The Kalman Filter (KF) models used in the CP algorithm are detailed and results obtained from integrating GPS positions, inter-vehicular ranges and information derived from in-vehicle maps are then discussed along with typical results as determined through a variety of network simulation studies.

scholarly journals Unpredicted Trajectories of an Automated Guided Vehicle with Chaos

Robotics ◽  
2013 ◽  
pp. 1012-1019
Author(s):  
Magda Judith Morales Tavera ◽  
Omar Lengerke ◽  
Max Suell Dutra
Keyword(s):  
Mobile Robot ◽  
Intelligent Transportation Systems ◽  
Vehicular Networks ◽  
Initial Conditions ◽  
Transportation Systems ◽  
Automated Guided Vehicle ◽  
Topological Transitivity ◽  
Chaotic Motions ◽  
Sensitive Dependence ◽  
Scanning Motion

Intelligent Transportation Systems (ITS) are the future of transportation. As a result of emerging standards, vehicles will soon be able to talk to one another as well as their environment. A number of applications will be made available for vehicular networks that improve the overall safety of the transportation infrastructure. This chapter develops a method to impart chaotic motions to an Automated Guided Vehicle (AGV). The chaotic AGV implies a mobile robot with a controller that ensures chaotic motions. This kind of motion is characterized by the topological transitivity and the sensitive dependence on initial conditions. Due the topological transitivity, the mobile robot is guaranteed to scan the whole connected workspace. For scanning motion, the chaotic robot neither requires a map of the workspace nor plans global motions. It only requires the measurement of the workspace boundary when it comes close to it.

scholarly journals Analysis of Mobile Edge Computing for Vehicular Networks

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1303 ◽  
Author(s):  
Zachary Lamb ◽  
Dharma Agrawal
Keyword(s):  
Cellular Networks ◽  
Data Storage ◽  
Intelligent Transportation Systems ◽  
Vehicular Networks ◽  
Vehicular Ad Hoc Networks ◽  
Transportation Systems ◽  
Edge Computing ◽  
Test Bed ◽  
And Storage ◽  
Cloud Resources

Vehicular ad-hoc Networks (VANETs) are an integral part of intelligent transportation systems (ITS) that facilitate communications between vehicles and the internet. More recently, VANET communications research has strayed from the antiquated DSRC standard and favored more modern cellular technologies, such as fifth generation (5G). The ability of cellular networks to serve highly mobile devices combined with the drastically increased capacity of 5G, would enable VANETs to accommodate large numbers of vehicles and support range of applications. The addition of thousands of new connected devices not only stresses the cellular networks, but also the computational and storage requirements supporting the applications and software of these devices. Autonomous vehicles, with numerous on-board sensors, are expected to generate large amounts of data that must be transmitted and processed. Realistically, on-board computing and storage resources of the vehicle cannot be expected to handle all data that will be generated over the vehicles lifetime. Cloud computing will be an essential technology in VANETs and will support the majority of computation and long-term data storage. However, the networking overhead and latency associated with remote cloud resources could prove detrimental to overall network performance. Edge computing seeks to reduce the overhead by placing computational resources nearer to the end users of the network. The geographical diversity and varied hardware configurations of resource in a edge-enabled network would require careful management to ensure efficient resource utilization. In this paper, we introduce an architecture which evaluates available resources in real-time and makes allocations to the most logical and feasible resource. We evaluate our approach mathematically with the use of a multi-criteria decision analysis algorithm and validate our results with experiments using a test-bed of cloud resources. Results demonstrate that an algorithmic ranking of physical resources matches very closely with experimental results and provides a means of delegating tasks to the best available resource.

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