Vehicular Ad Hoc Network Simulator (VANET) is the wireless connectivity of small-scale/large-scale vehicles. Here, the vehicles are maybe in either a static or dynamic state of position. The main motive of VANET is to assure the safety of vehicles, roads, pedestrians, drivers, and other surrounding things.
This page discusses the new updates of VANET Research and their Supportive Simulators!!!
Further, VANET simulation is advanced in vehicular communication, autonomous vehicles, and driver assistance. As a result, presently there are so many applications are developing in the areas of vehicle ad hoc network in the following means,
Now, we can see in what way the effect of actual simulation is assessed in vehicle-to-vehicle communication. However this process has several challenges, our research team is unique in identifying novel solutions for complicated issues.
Additionally, below we have given few simulation parameters used for VANET network model evaluation.
Next, we can see the different features of vehicles that are sure to enhance the efficiency of the vehicular communication system. Our research team has identified all possible intelligent methods to improve these features even better for achieving the best research outcome since all these models are essential for improving the performance of the Vehicular Ad Hoc Network Simulator. Along with the simulation models for VANET, we describe the features of vehicles that are different for autonomous vehicles (self-driving cars), internet of vehicles and internet of connected vehicles, etc.
Furthermore, we have listed our features of developing VANET applications. The following features are unbeatable from others to support you in every aspect of vehicular communication. Our ultimate goal is to fulfill your needs in your desired research area of VANET. So, we updated ourselves on all major and minor areas of the VANET field.
As a matter of fact, initially, VANET is introduced as a short-term network for satisfying the particular needs of dynamic vehicles like emergency message transmission. Though it satisfied the basic needs of vehicles, it has a complex and inflexible framework. So, it is a problematic job in direct real-time VANET testbeds (physical).
VANET simulator are designed to replicate the real scenarios in virtualized format. This helps the developers to detect and rectify the lags of network performance prior to direct deployment. So, different payable and non-payable simulators are developed to simulate several VANET scenarios.
A general Vehicular Ad Hoc Network Simulator mainly focuses on requirements of vehicular communication which involves traffic creation, control, and routing. In some cases, it also looks into other related problems such as propagation design, node mobility, etc. Basically, the VANET simulator is divided into 3 main classifications:
Next, we can see the functional needs of the VANET environment. Presently, numerous simulators are available for developing VANET applications. So, we are sensible in choosing the best VANET simulator for your project. In order to yield expected results, we concern about the following points before handpicking the appropriate tool.
Certainly, the design of network scenarios is classified into customized and standard scenarios. The customized scenarios are created depends on the requirement of the clients. Similarly, the standard scenarios are created depend on the configuration parameters of the simulation.
‘Compare to standard scenarios, the customized scenarios uprising the promises of developing different VANET scenarios for urban and highway use cases’
For instance: when we working on customized scenarios, we focus on different performance lifting parameters such as speed, environment (urban/rural), and brake distance with neighboring cars.
In real-environs, the physical construction of real vehicles and traffic settings is a very difficult process to work down. To overcome these problems, integrated simulations are launched for creating VANET infrastructure with realistic conditions. This includes the following three software packages,
The above specified integrated simulators are used to conveniently share the information. Also, it enables you to visualize the performance of the traffic control mechanisms by means of communication protocols and desired effects. For the traffic-related VANET subjects, NS-3 with SUMO is one of the best tools for customized simulation. For more clarity, we have explained how the simulation process takes place in the NS-3 with SUMO.
In addition, our developers have given you two different VANET scenarios for simulation with their current evolving real-time applications. Similarly, our experts have come across countless VANET projects at different scenarios and configurations. So, we support you in any kind of application development regardless of complexity level.
So far, we have discussed the current research areas and issues of Vehicular ad hoc network simulator. Now, we can see about the future directions of the VANET. Nowadays, the integrated technologies may found have fewer footprints in VANET but it has extended next-generation scope. So, we are currently practicing more in new technological developments. Below, we have shared the areas that we are currently working on for creating ground-breaking research contributions.
For constructing the network of vehicles environment,
We hope that you have understood both current and future research directions of the VANET along with simulation tools. For the benefit of active scholars, we have additionally listed a few more original research notions of VANET. These notions are gathered after conducting multiple types of research on current research areas for vehicular ad hoc network simulator. In specific, we support emerging areas such as vehicular grids, intra-vehicular networks, inter-vehicular, vehicular mobile networks, vehicular cloud, etc.
Further, if you need more information on Vehicular Ad Hoc Network Simulator or research areas then communicate with us. We are ready to support you in your required phase of research and development.
Technology | Ph.D | MS | M.Tech |
---|---|---|---|
NS2 | 75 | 117 | 95 |
NS3 | 98 | 119 | 206 |
OMNET++ | 103 | 95 | 87 |
OPNET | 36 | 64 | 89 |
QULANET | 30 | 76 | 60 |
MININET | 71 | 62 | 74 |
MATLAB | 96 | 185 | 180 |
LTESIM | 38 | 32 | 16 |
COOJA SIMULATOR | 35 | 67 | 28 |
CONTIKI OS | 42 | 36 | 29 |
GNS3 | 35 | 89 | 14 |
NETSIM | 35 | 11 | 21 |
EVE-NG | 4 | 8 | 9 |
TRANS | 9 | 5 | 4 |
PEERSIM | 8 | 8 | 12 |
GLOMOSIM | 6 | 10 | 6 |
RTOOL | 13 | 15 | 8 |
KATHARA SHADOW | 9 | 8 | 9 |
VNX and VNUML | 8 | 7 | 8 |
WISTAR | 9 | 9 | 8 |
CNET | 6 | 8 | 4 |
ESCAPE | 8 | 7 | 9 |
NETMIRAGE | 7 | 11 | 7 |
BOSON NETSIM | 6 | 8 | 9 |
VIRL | 9 | 9 | 8 |
CISCO PACKET TRACER | 7 | 7 | 10 |
SWAN | 9 | 19 | 5 |
JAVASIM | 40 | 68 | 69 |
SSFNET | 7 | 9 | 8 |
TOSSIM | 5 | 7 | 4 |
PSIM | 7 | 8 | 6 |
PETRI NET | 4 | 6 | 4 |
ONESIM | 5 | 10 | 5 |
OPTISYSTEM | 32 | 64 | 24 |
DIVERT | 4 | 9 | 8 |
TINY OS | 19 | 27 | 17 |
TRANS | 7 | 8 | 6 |
OPENPANA | 8 | 9 | 9 |
SECURE CRT | 7 | 8 | 7 |
EXTENDSIM | 6 | 7 | 5 |
CONSELF | 7 | 19 | 6 |
ARENA | 5 | 12 | 9 |
VENSIM | 8 | 10 | 7 |
MARIONNET | 5 | 7 | 9 |
NETKIT | 6 | 8 | 7 |
GEOIP | 9 | 17 | 8 |
REAL | 7 | 5 | 5 |
NEST | 5 | 10 | 9 |
PTOLEMY | 7 | 8 | 4 |