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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
    Average 90 stars, based on 1 article reviews
    time-based continuous and discrete-event simulation resources - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    other:

    Article Title: Evaluation of the masked node problem in ad hoc wireless LANs
    Article Snippet: We have developed a discrete event simulator in MATLAB [17].

    Article Title: Handover analysis of openflow-based mobile networks with distributed control plane
    Article Snippet: A centralized controller approach in Software-Defined Networking (SDN) creates problems related to scalability and performance degradation.. These problems are the main reason for introducing an architecture of logically distributed controllers.. Ensuring the continuity of a user’s ongoing session and reducing the interruption time during a handover, is one of the major challenges in today’s modern mobile networks.

    Article Title: Modelling Green Femtocells in Smart-grids
    Article Snippet: On going demands to connect massive amounts of the heterogeneous mobile devices and data traffics make the mobile operators in desperate need to find energy-efficient solutions for coverage and real-time services.. Accordingly, mobile femtocells are found to be a promising solution in the coming few decades.. This paper presents energy-based analysis for mobile femtocells in Ultra-Large Scale (ULS) applications such as the smart-grid.

    Article Title: Mobile Couriers’ selection for the Smart-grid in Smart-cities’ Pervasive Sensing
    Article Snippet: The explosion of wireless devices has given rise to numerous data-sharing applications in smart-cities’ Pervasive Sensing (PS) paradigms.. This vision has been further expanded in the Internet of Things (IoT) era to embrace multipurpose resources within a smart city setup such as public sensors on roads/vehicles, cameras, RFID tags, and readers.. The realization of such a prophecy is significantly challenged in terms of connectivity disruption, resource management, and data gathering under mobile conditions.

    Generated:

    Article Title: Reliable Transport in Delay-Tolerant Networks With Opportunistic Routing
    Article Snippet: .. The simulations have been carried out with Matlab using a discrete event simulator, where the inter-meeting time between each pair of nodes is generated with an exponentially distributed random variable with mean 1/β, so is generated with mean τe the expiry time from the instant a buffer receives a packet. ..



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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: