scholarly journals Inter-Vehicular Communications Using Wireless Ad Hoc Networks

Author(s):  
Raúl Aquino-Santos ◽  
Víctor Rangel-Licea ◽  
Miguel A. García-Ruiz ◽  
Apolinar González-Potes ◽  
Omar Álvarez-Cardenas ◽  
...  

This chapter proposes a new routing algorithm that allows communication in vehicular ad hoc networks. In vehicular ad hoc networks, the transmitter node cannot determine the immediate future position of the receiving node beforehand. Furthermore, rapid topological changes and limited bandwidth compound the difficulties nodes experience when attempting to exchange position information. The authors first validate their algorithm in a small-scale network with test bed results. Then, for large-scale networks, they compare their protocol with the models of two prominent reactive routing algorithms: Ad-Hoc On-Demand Distance Vector and Dynamic Source Routing on a multi-lane circular dual motorway, representative of motorway driving. Then the authors compare their algorithm with motorway vehicular mobility, a location-based routing algorithm, on a multi-lane circular motorway. This chapter then provides motorway vehicular mobility results of a microscopic traffic model developed in OPNET, which the authors use to evaluate the performance of each protocol in terms of: Route Discovery Time, End to End Delay, Routing Overhead, Overhead, Routing Load, and Delivery Ratio.

Author(s):  
Mannat Jot Singh Aneja ◽  
Tarunpreet Bhatia ◽  
Gaurav Sharma ◽  
Gulshan Shrivastava

This chapter describes how Vehicular Ad hoc Networks (VANETs) are classes of ad hoc networks that provides communication among various vehicles and roadside units. VANETs being decentralized are susceptible to many security attacks. A flooding attack is one of the major security threats to the VANET environment. This chapter proposes a hybrid Intrusion Detection System which improves accuracy and other performance metrics using Artificial Neural Networks as a classification engine and a genetic algorithm as an optimization engine for feature subset selection. These performance metrics have been calculated in two scenarios, namely misuse and anomaly. Various performance metrics are calculated and compared with other researchers' work. The results obtained indicate a high accuracy and precision and negligible false alarm rate. These performance metrics are used to evaluate the intrusion system and compare with other existing algorithms. The classifier works well for multiple malicious nodes. Apart from machine learning techniques, the effect of the network parameters like throughput and packet delivery ratio is observed.


Author(s):  
Leandro N. Balico ◽  
Horacio A.B.F. Oliveira ◽  
Raimundo S. Barreto ◽  
Antonio A.F. Loureiro ◽  
Richard W. Pazzi

2020 ◽  
Vol 5 (1) ◽  
pp. 56-63
Author(s):  
Chi-Fu Huang ◽  
Jyun-Hao Jhang

Due to advances in wireless communication technologies, wireless transmissions gradually replace traditional wired data transmissions. In recent years, vehicles on the move can also enjoy the convenience of wireless communication technologies by assisting each other in message exchange and form an interconnecting network, namely Vehicular Ad Hoc Networks (VANETs). In a VANET, each vehicle is capable of communicating with nearby vehicles and accessing information provided by the network. There are two basic communication models in VANETs, V2V and V2I. Vehicles equipped with wireless transceiver can communicate with other vehicles (V2V) or roadside units (RSUs) (V2I). RSUs acting as gateways are entry points to the Internet for vehicles. Naturally, vehicles tend to choose nearby RSUs as serving gateways. However, due to uneven density distribution and high mobility nature of vehicles, load imbalance of RSUs can happen. In this paper, we study the RSU load-balancing problem and propose two solutions. In the first solution, the whole network is divided into sub-regions based on RSUs’ locations. A RSU provides Internet access for vehicles in its sub-region and the boundaries between sub-regions change dynamically to adopt to load migration. In the second solution, vehicles choose their serving RSUs distributedly by taking their future trajectories and RSUs’ loading information into considerations. From simulation results, the proposed methods can improve packet delivery ratio, packet delay, and load balance among RSUs.


2021 ◽  
Vol 13 (2) ◽  
pp. 9-24
Author(s):  
Mahmoud Ali Al Shugran

Vehicular Ad hoc Networks (VANETs) is new sort in wireless ad-hoc networks. Vehicle-to-Vehicle (V2V) communication is one of the main communication paradigms that provide a level of safety and convenience to drivers and passengers on the road. In such environment, routing data packet is challenging due to frequently changed of network topology because of highly dynamic nature of vehicles. Thus, routing in VANETs in require for efficient protocols that guarantee message transmission among vehicles. Numerous routing protocols and algorithms have been proposed or enhanced to solve the aforementioned problems. Many position based routing protocols have been developed for routing messages that have been identified to be appropriate for VANETs. This work explores the performances of selected unicast non-delay tolerant overlay position-based routing protocols. The evaluation has been conducted in highway and urban environment in two different scenarios. The evaluation metrics that are used are Packet Delivery Ratio (PDR), Void Problem Occurrence (VPO), and Average Hop Count (AHC).


2018 ◽  
Vol 21 (1) ◽  
pp. 89
Author(s):  
I A Kaysina ◽  
D S Vasiliev ◽  
A V Abilov ◽  
A E Kaysin ◽  
A I Nistyuk

Описан тестовый стенд, который позволяет произвести оценку эффективности новых алгоритмов кодирования в летающих сенсорных сетях (Flying Ad Hoc Networks, FANET), в том числе и метода сетевого кодирования. В тестовый стенд входят: наземная станция (ноутбук), летающий робот (беспилотный летальный аппарат, БПЛА) и несколько микрокомпьютеров Raspberry Pi 3. С помощью тестового стенда была оценена возможная дальность связи между наземной станцией и летающим роботом, а также доказана возможность реализации сетевого кодирования на промежуточном узле на базе Raspberry Pi 3. Оценка дальности связи между наземной станцией и летающим роботом была произведена с помощью первого сценария. Летающий робот отправлял видеоданные с бортовой камеры на наземную станцию. После сбора всех данных было проанализировано качество обслуживания (quality of service, QoS) и рассчитан коэффициент доставленных пакетов (Packet Delivery Ratio, PDR) с помощью программы анализатора сетевого трафика Wireshark. По результатам измерений была найдена максимальная дальность связи между наземной станцией и летающим роботом с использованием стандарта 802.11n (Wi-Fi). Возможность реализации сетевого кодирования в самоорганизующихся сетях была произведена с помощью второго сценария. Была создана самоорганизующаяся сеть из трех микрокомпьютеров Raspberry Pi 3. Для маршрутизации данных использовался протокол B.A.T.M.A.N., на основе которого может быть проанализирована одна из реализаций метода сетевого кодирования.


Sign in / Sign up

Export Citation Format

Share Document