EstiNet Network Simulator
Rocki Stenger
The EstiNet network simulator/emulator originates from NCTUns. NCTUns had been used for network-related research and publication from 2002 to 2011. It became a commercial software on 2011 and was renamed EstiNet. EstiNet's network simulation environment includes physical layer, media access control layer, network layer, transportation layer and application layer. In addition, EstiNet's user-friendly GUI provides users a convenient way to construct a simulated network and a visual display for simulation result observation and debugging.
EstiNet11 supports 5G network simulation by providing a complete 5GC software and abstract RAN+UE modules that simulates simplified RAN attributes and UE behaviors. It integrates high-quality 5G core network software developed by free5GC alliance initiated by National Chiao Tung University, Taiwan. The 5G network simulation of EstiNet is accomplished using pure software and thus it can be installed and executed on pure cloud systems.
EstiNet11 can intuitively display visual animation of layer-2 frame transmission/reception/floating over media. For 5G simulation, EstiNet11 further provide message-level animation to display control message exchanges among 5GC components, which is useful and helpful for learning and studying 5G core network behaviors. (The 5G message-level animation feature is coming soon.)
EstiNet11 can turn itself from the simulation mode to the emulation mode. When turning into the emulation mode, a simulated network/device can transmit/receive packets to/from a real-world device. That is, an emulated network comprises simulated network nodes and real network devices. This mode is useful to test the behavior of a newly developed network equipment.
The NCTUns network simulator and emulator was first released on 11/18/2002. As of February 29, 2012, according to the download user database, more than 20,379 people from 144 countries have registered at the NCTUns web site and downloaded it. (
To see how people in the world are using NCTUns for their researches, you may search the "NCTUns" keyword in Google. To see the impact of NCTUns, you may search the "Network simulator" keyword in Google. To read the many papers that use NCTUns to carry out research, you may search the "NCTUns" keyword in Google Scholar at Nowadays, many IEEE papers that use "NCTUns" are collected in IEEE Xplore digital library and cannot be accessed by Google. To see these papers, enter IEEE Xplore and use "NCTUns" as the keyword to search the full text of papers.
The NCTUns is a high-fidelity and extensible network simulator and emulator capable of simulating various protocols used in both wired and wireless IP networks. Its core technology is based on the novel kernel re-entering methodology invented by Prof. S.Y. Wang [1, 2] when he was pursuing his Ph.D. degree at Harvard University. Due to this novel methodology, NCTUns provides many unique advantages that cannot be easily achieved by traditional network simulators such as ns-2 [3] and OPNET [4].
At NCTU, Prof. S.Y. Wang and his students are working hard to continuously add more functionalities and features to NCTUns. They want to make it a high-quality software and would like to contribute it to the networking community.
EstiNet Technologies Inc. is a professional IT company on developing products and solutions for software-defined networking (SDN) and OpenFlow switches and controllers. One of its products, EstiNet OpenFlow network simulator and emulator, is the best OpenFlow controller application development kit in the world. It is currently ranked #1 on Google's "OpenFlow network simulator" search results.
VentureRadar Research / Company Website
Pica8
USA
Private
Pica8 pioneered open networking with PicOS?, the first network operating system that enables customers to easily migrate from conventional networking to software-defined networking (SDN) using commodity bare metal switches. PicOS provides extensive support for traditional switching and routing protocols and delivers SDN solutions through Pica8's adoption of Open-vSwitch (OVS). Pica8 can provide PicOS, switching hardware or both in a fully integrated package as part of an end-to-end data center SDN solution, and makes adopting SDN easy with a Starter Kit that enables deployment in hours rather than months. Pica8 is a global company headquartered in Palo Alto, California.
In general, the vehicular ad hoc network is abbreviated as VANET and it includes group of moving and stationary vehicles that are connected through the wireless network. The foremost objective of the main utilization of VANETs is the provision of safety and comfort for the drivers in the vehicular environments.
The VANET simulators are considered as the amalgamation of network and mobility simulators. In addition, the network simulators are responsible for the process of modeling communication protocols with the exchange of messages. The mobility simulators are in control to the movement of all the nodes with its mobility. In addition, the VANET simulators are enlisted below,
So far, we have discussed the significance of vehicular ad hoc network simulators. In addition, the following is about the research topics that are particularly based on the vehicular ad hoc network. Consequently, you can completely consider us and give us a chance to help you to build a great research career. We are very much delighted to help the research scholars in their research. Now, we go through the research topics in vehicular ad hoc network simulator.
On the whole, we have discussed all the required phases involved in the process of VANET simulator. In fact, we have more than 100+ research experts to provide research innovations and research guidance. We are not subject to these services but also masters in thesis writing, assignment writing, paper writing, proposal writing, journal paper publication and more. Generally, we are an organization with massive research masters and technical experts to deliver the projects for researchers within the time given. If you are interested in preceding your research then you can approach us. Our research professionals are always ready to assist you to reach better heights.
Research on VANETs (vehicular ad hoc networks) date back to the beginning of the 2000s. The possibility of enabling communication between vehicles through a wireless network stimulated the creation of new protocols, devices, and diverse utilization scenarios. Due to the intrinsic difficulties of using a real testbed to evaluate these research contributions, several simulators were developed at the time. Recently, with the advent of autonomous vehicles and the emergence of novel technologies (e.g., 5G and edge computing), new research challenges on VANETs are coming into sight. Therefore, revisiting VANET simulators is required to identify if they are still capable of evaluating these new scenarios. This paper presents an updated review of VANET simulators, showing their current state and capabilities to assess novel scenarios in VANET research. Based on this analysis, we identify open research challenges that should be addressed in current and future VANET simulators.
Intelligent vehicles are a developing technology with promising future. However, to guarantee such technology to be safe, vehicles need to be able to communicate with each other and exchange information in real time. VANETs (vehicular ad hoc networks) were created to fulfill this necessity. VANETs are a special class of MANET (mobile ad hoc network) with predefined routes [1]. It allows vehicles to share information such as location, telemetry data, and safety warnings. VANET aims to ensure safe driving by improving the traffic flow and therefore significantly reducing car accidents. This is possible by providing appropriate information to the driver or to the vehicle.
In this paper, we provide an updated review on VANET simulators, presenting their main features and current support for novel technologies. In addition, we also analyze their footings for modeling important safety and security issues (and associated countermeasures) that have motivated extensive research in VANETs over the last years. To the best of our knowledge, this is the first study providing a detailed view on the aforementioned aspects in VANET simulators, and we hope it can motivate the community to develop further tools that assist VANETs towards widespread adoption. To take the first steps in that direction, we also list and discuss many research challenges we found during our investigations, which range from performance issues to lack of support for current standards. Overall, our main findings are as follows:
Among the currently maintained tools (open-source and commercial), Veins [6] is currently the simulator with best support for modeling novel technologies and safety/security issues in VANETs. For example, the simulator contains pre-built extensions for modeling 5G networks, signal interference/attenuation, and privacy solutions.
Despite the recent advances, current VANET simulators still lack support for more realistic models. For instance, none of them provide a full-stack implementation of the main security standards for VANETs (e.g., IEEE 1609.2) or offer any mechanism for systematically modeling faulty nodes (e.g., an unreliable RSU).
As a collection of interconnected vehicles, VANETs present some unique characteristics not seen in other types of MANETs (e.g., smartphone-based ad hoc networks). First, deploying a VANET is usually expensive due to the fact that each VANET node (i.e., a vehicle) must contain a rich set of sensors (e.g., LIDAR and proximity sensors) as well as computation and communication resources (e.g., processors, memory, and communication antennas) to analyze and exchange information [4]. Moreover, VANETs tend to primarily use short-distance communication (i.e., messages are typically sent when vehicles are close to each other), relegating long-range signals to some special scenarios (e.g., when vehicles need to communicate with road-side units in less populated areas). The life span of a VANET link is short as it is highly affected by the movement of vehicles. As a consequence, the network topology tends to change often and thus impose strict latency and bandwidth requirements for applications [7]. VANETs also have predictable mobility patterns as node movements are constrained by the road topology, and node locations must be very precise as any vaguely estimated vehicle location can put human lives in danger (e.g., by causing two vehicles to collide). Finally, VANETs have no issues with respect to power constraints as vehicles have the ability to provide a continuous source of power via long life batteries [8]. These characteristics enable VANETs to be used in a wide range of applications, including safe driving, improving passenger comfort and enhancing traffic efficiency [9].
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