A Survey on Network Simulators for Vehicular Ad-hoc Networks (VANETS)

Aljabry, Israa A.; Al–Suhail, Ghaida A.

doi:10.5120/ijca2021920979

Cited by 19 publications

(10 citation statements)

References 2 publications

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“…On the other hand, passive monitoring approaches extrapolate network performance by listening in on data passing over network links. Passive monitoring offers many advantages over active monitoring [1], [2]. First, it does not contribute monitoringrelated synthetic traffic to the network architecture.…”

Section: Introductionmentioning

confidence: 99%

“…It supports different workstations leading to faster transmission than before and improving connection capabilities. The necessity for tools to monitor and analyze network communications was necessitated by the continuous growth and increasing functionality needs of networks [1]. It resulted in the development of network simulators, which help to design and analyze different types of networks, protocols, etc.…”

Section: Introductionmentioning

confidence: 99%

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Enhanced system for ns2 trace file analysis with network performance evaluation

Alkenani

Nassar

2022

IJICI

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One of the critical challenges facing operators around the world is how to ensure that everything is running smoothly as well as how to analyze the performance of the network. Nonetheless, the analytic system must be precise, user-friendly, and quick enough to depict network performance in real time. Network performance is essential for ensuring service quality. In this light, the Network Simulator NS-2 is generally employed for network research on the widely-used UNIX and Windows systems. Next, the network scenarios are generated using network simulation scripts, and upon completion of the simulation, trace files that record network events are generated. Information that might be utilized in a performance study could be recorded in trace files. This could include the total number of packets sent, their arrival times, any delays or losses, and so on. This trace file analysis problem arises mostly because NS-2 does not provide any visualization options for analyzing simulation results (trace files). A system is proposed to analyze the NS2 trace file and facilitate data extraction and evaluation. The main feature of this system is the Java language for network performance evaluation. And to prove the validity of the system, the system was compared with the Trace graph, where the speed of the new system was very high.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhanced system for ns2 trace file analysis with network performance evaluation

Alkenani

Nassar

2022

IJICI

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“…One of the most popular protocols used to achieve on-demand routing is the Ad-hoc On-Demand Distance Vector routing protocol (AODV), whose main activities can be summarized in two processes, namely how to discover a route, and then how to maintain it. The first process takes place when a node needs to establish a route to a specific node, as the source node broadcasts a request for a path across the network using a flood of packets until the request reaches the destination node [8] [9]. Then the latter sends a response packet to the source node.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Route lifetime in Vehicular Ad Hoc ?Networks Based on Skellam Distribution Model

Tawfeeq

2022

Int. j. commun. netw. inf. secur.

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The emergence of smart cities and the need to use intelligent transportation systems has led to an increased reliance on vehicle ad hoc networks (VANET). The topology of VANET is highly dynamic, which results in a short effective routing time. This paper presents a two-stage algorithm to select a route that can sustain communication between vehicles for as long as possible while taking into account the variables that affect the VANET topology. The first stage uses Skellam distribution model to assess the connectivity probability of paths in ?a 2d road network based on traffic-flow and the number of vehicles ?joining and leaving the ?network, accordingly, the path with the highest connectivity is chosen. In the second stage, the control packets sent only to vehicles on the selected path to detect routes between source and destination, thus reducing the overhead of control packets and increasing network stability. ? the algorithm adopts the principle of global evaluation to ?estimate the lifetime ?of the ?detected ?routes within the chosen path. ?the route with the ?best estimated ?lifetime ?is ?chosen to be ?the active route. ?in the event of route failure, the validity of the next route in lifetime is confirmed to be adopted as the alternate route. The proposed algorithm was compared with both on-?demand distance ?vector routing protocol (AODV) protocol and the modified location-aided routing ??(LAR) ?protocol. The proposed algorithm showed greater network stability, higher performance in terms of longer lifetime route detection, less energy consumption and higher throughput.

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“…Even though VANET is a sub-class of MANET, but in the last ten years, VANET has drawn the attention of researchers all over the globe because of its diverse attribute such as the high mobility of vehicles compared to MANET, which is about 100m, and the frequent changes of topology. The vehicles can connect among each other in (V2V) mode or between a vehicle and infrastructure in (V2I) mode or by mixing the previous two-mode, which is a hybrid mode (V2X) [1]- [3].incorporating the applicable criteria that follow. In VANET, the routing protocol is divided into five categories: topology-based routing, position-based routing, cluster-based routing, geo-cast routing, and broadcast routing [4], [5].…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy GPSR Route Selection Based on Link Quality and Neighbor Node in VANET

Aljabry

Al–Suhail

Jabbar

2021

2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)

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Over recent years, a new technology named VANET (Vehicular Ad-hoc Networks) is highly recommended in smart cities and especially in Intelligent Transportation Systems (ITS). The VANET technology relies on the nodes acting like cars without the necessity for any controller or central base station by creating a wireless link among them. It enables cars to send and receive information between themselves and their environment. most VANETs utilize position-based routing protocols because they contain a GPS device. To deal with VANET problems, one solution is Geographic Perimeter Stateless Routing (GPSR) which has been broadly implemented. This paper suggests an effective intelligent fuzzy logic control system; called the FL-QN GPSR routing protocol. The proposed routing protocol incorporates two metrics link quality, and neighbor node to detect the best next-hop node for packet forwarding also updates the format of the Hello message by adding the direction field to be more suitable to our simulation. The OMNeT++ and SUMO simulation tools are both used in parallel to examine the VANET environment. The obtained results of the four simulation experiments in urban environments indicate substantial improvements in the network performance compared to the traditional GPSR and AODV concerning the QoS parameters.

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A Survey on Network Simulators for Vehicular Ad-hoc Networks (VANETS)

Cited by 19 publications

References 2 publications

Enhanced system for ns2 trace file analysis with network performance evaluation

Enhanced system for ns2 trace file analysis with network performance evaluation

Enhancing Route lifetime in Vehicular Ad Hoc ?Networks Based on Skellam Distribution Model

A Fuzzy GPSR Route Selection Based on Link Quality and Neighbor Node in VANET

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