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While the former are messages explicitly exchanged between components through input/output ports, the latter are based on timers. To that purpose, Komondor is based on the COST library, which allows building interactions between components (e.g., wireless nodes, buffers, packets) through synchronous and asynchronous events. Henceforth, it reproduces actual transmissions on a per-packet basis. Komondor aims to realistically capture the operation of WLANs. Table I highlights in a nutshell the most important characteristics of the overviewed network simulators and Komondor. Finally, the ns-3, which was introduced in 2006 to replace the ns-2, presents significant advantages over the ns-2 due to its detailed simulation features, becoming very popular among the research community.
#NETSIM 10 FREEZING ON STARTUP SIMULATOR#
The ns-2 simulator, is another network simulator known for its accuracy and the integration with the network animator. When it comes to open source network simulators, a MATLAB-based link-level simulator was presented in for supporting the IEEE 802.11g/n/ac/ah/af technologies. To that purpose, the simulator was written in Java, which compromises simulation time with programming flexibility. NetSim was conceived to provide an accurate simulation model oriented to the world wide web. OPNET is another commercial simulator that allows the integration of external components. OMNET++ is a component-based C++ simulation library that is not open-source and is used for modeling communication networks and distributed multiprocessor systems. Note that each WLAN has its own channel allocation and DCB policy.įrom the family of discrete-event driven network simulators, only a few ones are publicly available. Therefore, it becomes necessary to provide reliable simulation tools able to assess the performance and behavior of next-generation WLANs in multiple scenarios/cases, specially in high-density deployments. Amendments like the aforementioned ones lay the foundation of next generation WLANs by including new features such as multiple-antenna techniques like Downlink/Uplink Multi-User Multiple-Input-Multiple-Output (DL/UL MU-MIMO), spatial reuse techniques like BSS coloring, and efficient use of channel resources like DL/UL Orthogonal Frequency Division Multiple Access (OFDMA). Other important amendments for next-generation wireless networks are the IEEE 802.11ay and EXtreme Throughput (XT) 802.11, which aim to exploit the 60 GHz and ≤ 6 GHz frequency bands, respectively. Of a particular interest is the IEEE 802.11ax (11ax) amendment, that is under active development and which was introduced to address the demands and challenges that WLANs will face in the congested 2.4/5 GHz bands.
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Machine learning support - in next-generation WLANs by easily developing new The potential of Komondor for simulating complex environments - even with Results show that KomondorĬaptures the IEEE 802.11 operation very similarly to ns-3. Markov Networks (CTMNs) and the Bianchi's DCF model. Tools: the ns-3 simulator and two analytical tools based on Continuous Time Operation of Komondor is validated in a variety of scenarios against different Simulator and overview its main features, development stages and use cases. In this paper, we provide insights into the Komondor Time of other simulators like ns-3, thus supporting large-scale scenarios withĪ huge number of nodes. Lies in its high event processing rate, which is furnished by the (ready-to-use) open source tool for research on wireless networks and academia.Īn important advantage of Komondor over other well-known wireless simulators
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The simulator has been conceived as an accessible Komondor is a wireless network simulator for next-generation wireless localĪrea networks (WLANs).