By Jack L. Burbank

This ebook offers the training engineer with a concise directory of business and open-source modeling and simulation instruments at present to be had together with examples of imposing these instruments for fixing particular Modeling and Simulation examples. rather than targeting the underlying thought of Modeling and Simulation and basic development blocks for customized simulations, this ebook compares systems utilized in perform, and offers principles permitting the training engineer to make use of on hand Modeling and Simulation instruments. This booklet will include insights relating to universal pitfalls in community Modeling and Simulation and functional tools for operating engineers.

**Read Online or Download An Introduction to Network Modeling and Simulation for the Practicing Engineer (The ComSoc Guides to Communications Technologies) PDF**

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**Additional resources for An Introduction to Network Modeling and Simulation for the Practicing Engineer (The ComSoc Guides to Communications Technologies) **

**Example text**

1 0 0 25 50 75 100 125 150 175 200 225 250 275 300 Distance (m) FIGURE 2-2. Beacon reception probability versus transmitter to receiver distance [9]. THE FADING CHANNEL 27 illustrates the observed probability of beacon reception as the distance between transmitter and receiver increases. As would be expected with any of the three large-scale propagation models presented in this section, the signal strength decreases exponentially as the distance increases and clearly does not adhere to the often-assumed binary function outlined in yellow in Figure 2-2.

For example, Equation 2-11 THE FADING CHANNEL 37 shows the inverse CDF to convert uniformly distributed random variates on the interval of [0,1] to Rayleigh random variates. X = F −1 (U ) = σ − log (1 − U ) = σ − log (U ) (2-11) where, U: the uniformly distributed random variable on the interval of [0, 1] σ : the standard deviation of the multipath interference present at the desired receiver Furthermore, Equation 2-11 is simplified noting that 1—U has the same uniform distribution as U, on the interval of [0,1].

Edu domain are allowed to access the download page. 4 QualNet QualNet is the commercial spin-off of the GloMoSim simulator offered by Scalable Network Technologies. QualNet is based on the C++ programming language and provides either command line or GUI interface to the user. QualNet provides a wide range of wired and wireless protocol support. Its key selling point is its high degree of scalability, which can supposedly “support simulation of thousands of network nodes” with high fidelity [16].