In of interference. The system is defined under

In this present
work, the Indoor Propagation based system model is presented under different
kind of interference. The system is defined under different modulation
parameters and different number of users. The system is defined with AGWN
noise. In this present work we have defined a system model to analyze the
indoor Propagation based communication model under different parameters. The
propagation methods considered in this work are log-distance propagation,
Rayleigh propagation and Farris propagations. As the communication is performed
in such area because of limited congested area, the communication degrades. The
communication degrade is been analyzed in terms of energy loss over the
network. The main vectors, on which the energy loss depends, are number of
users and the distance vector. As the number of users in the limited area
increases, the energy loss also increase because of inter-channel interference.
In same way, as the distance between the communication nodes increases, the
energy loss increases because of fading property of signal.  In this presented work, a constraint
satisfaction approach is presented to perform the analysis. Constraint
satisfaction is about to apply some constraints to different environmental and
communication parameters with some fix values and by some varying attribute
values. The results will be driven in the form of constraints satisfaction or
constraint violation.


The analysis is
here been performed in terms of SNR and the energy loss over the communication.
The work is simulated in matlab environment with a fix indoor network with
limited area and some constant constraints. The parameters that are changed
during the communication are number of users and the distance vector. The
analysis of the work is performed in terms of energy loss. Each kind of
propagation is tested under increasing number of users and with increasing
distance parameters. The results shows that, as the number of users over the
network increases, the congestion over the network increases and the signal
noise also increases that results heavy energy loss. A result for all
propagation methods also shows that as the distance between the nodes will be
increased, it will also increase the energy loss. 

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After analyzing
each propagation method under different methods, the analytical comparisons are
also performed between these methods. This comparison was about to identify the
most effective and worst propagation model for indoor environment. The obtained
results from the system shows that the Rayleigh is most effective propagation
model that gives least power loss in indoor environment whereas Log-Distance
Model is worst and give heavy loss during the communication.