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In all simulation, we have considered the followings.
In our simulation, we have used MATLAB simulation.
For simulation, we have considered fixed data rate for all the BNs in the network.
For simulation, we have chosen the universal PN tool HYPENS [19, 20] for MATLAB.
In the first simulation, we have assumed three scenarios with three targets mentioned in Table 2.
In this simulation, we have taken N = 3 neurons in each of the two NN blocks.
For this simulation, we have chosen to focus on the Broadmead area of Bristol City Centre.
In the simulation, we have assume that Ω1 = Ω2 = 1, and m I = 1/2.
For every simulation we have to define the BS tolerance parameter ϵ and the word-length (L_{mathrm{w}}).
Before the simulation, we have to decide the value of used in LEACH for the first round of BACCA.
In order to use Monte Carlo simulation we have to know the underlying stochastic process for gasoline and ethanol.
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