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time-based continuous and discrete-event simulation resources  (MathWorks Inc)


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    MathWorks Inc time-based continuous and discrete-event simulation resources
    Time Based Continuous And Discrete Event Simulation Resources, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/discrete-event+simulator/10__1108_slash_aeat___11___2022___0305-138-6-11?v=MathWorks+Inc
    Average 90 stars, based on 1 article reviews
    time-based continuous and discrete-event simulation resources - by Bioz Stars, 2026-08
    90/100 stars

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    Image Search Results


    Comparison of different simulators of wireless sensor networks.

    Journal: Sensors (Basel, Switzerland)

    Article Title: Modeling of Packet Error Rate Distribution Based on Received Signal Strength Indications in OMNeT++ for Wake-Up Receivers

    doi: 10.3390/s23052394

    Figure Lengend Snippet: Comparison of different simulators of wireless sensor networks.

    Article Snippet: Compared with NS2, the OMNeT++ discrete event simulator has better performance, but it also has some advantages over optimized network engineering tools (OPNET), which is expensive commercial software.

    Techniques: Comparison, Battery

    PER module in OMNeT++ discrete event simulator.

    Journal: Sensors (Basel, Switzerland)

    Article Title: Modeling of Packet Error Rate Distribution Based on Received Signal Strength Indications in OMNeT++ for Wake-Up Receivers

    doi: 10.3390/s23052394

    Figure Lengend Snippet: PER module in OMNeT++ discrete event simulator.

    Article Snippet: Compared with NS2, the OMNeT++ discrete event simulator has better performance, but it also has some advantages over optimized network engineering tools (OPNET), which is expensive commercial software.

    Techniques:

    Simulation of WuRx Based on AS3933 LFPM PER model in OMNeT++ discrete event simulator.

    Journal: Sensors (Basel, Switzerland)

    Article Title: Modeling of Packet Error Rate Distribution Based on Received Signal Strength Indications in OMNeT++ for Wake-Up Receivers

    doi: 10.3390/s23052394

    Figure Lengend Snippet: Simulation of WuRx Based on AS3933 LFPM PER model in OMNeT++ discrete event simulator.

    Article Snippet: Compared with NS2, the OMNeT++ discrete event simulator has better performance, but it also has some advantages over optimized network engineering tools (OPNET), which is expensive commercial software.

    Techniques:

    Simulation of Spirit1 transceiver PER model in OMNeT++ discrete event simulator.

    Journal: Sensors (Basel, Switzerland)

    Article Title: Modeling of Packet Error Rate Distribution Based on Received Signal Strength Indications in OMNeT++ for Wake-Up Receivers

    doi: 10.3390/s23052394

    Figure Lengend Snippet: Simulation of Spirit1 transceiver PER model in OMNeT++ discrete event simulator.

    Article Snippet: Compared with NS2, the OMNeT++ discrete event simulator has better performance, but it also has some advantages over optimized network engineering tools (OPNET), which is expensive commercial software.

    Techniques:

    RSSI module in OMNeT++ discrete event simulator.

    Journal: Sensors (Basel, Switzerland)

    Article Title: Modeling of Packet Error Rate Distribution Based on Received Signal Strength Indications in OMNeT++ for Wake-Up Receivers

    doi: 10.3390/s23052394

    Figure Lengend Snippet: RSSI module in OMNeT++ discrete event simulator.

    Article Snippet: Compared with NS2, the OMNeT++ discrete event simulator has better performance, but it also has some advantages over optimized network engineering tools (OPNET), which is expensive commercial software.

    Techniques: