WIRELESS NETWORK
ADMISSION CONTROL is one of the most important technologies for the 21st
century. In distributed network admission controlnetwork-aware techniques are
used to reduce network consumption. Various network admission control applications
have taken network efficiency into
consideration.
This thesis
report focuses on a new approach based on fuzzy logic systems to an-alyze the
lifetime of a wireless admission control network. It demonstrates that a type-2
fuzzy membership function (MF), i.e., a Gaussian MF with uncertain standard
deviation (STD) is most appropriate to model a single node lifetime in wireless
network admission control. This re-search studies two basic admission control placement
schemes: square-grid and hex-grid. Two fuzzy logic systems(FLSs): a singleton
type-1 FLS and an interval type-2 FLS are designed to perform lifetime
estimation of the admission control network. Simulation results show that the
FLS offers
a feasible method to analyze and estimate the network admission control lifetime
and the interval type-2 FLS in which the antecedent membership functions are
modeled as Gaussian with uncertain std outperforms the singleton type-1 FLS.
v
In the later
chapters, two network efficient techniques in
wireless network admission controlare presented: fuzzy optimization for
distributed admission control deployment and spectrum efficient
coding scheme for correlated non-binary sources in wirless network admission
control.
For the admission
control deployment topic, it is shown that given a finite number of sensors,
optimizing the admission control deployment will provide sufficient
admission control coverage and ameliorate the quality of communications. We
apply fuzzy logic systems to optimize the admission control placement after an
initial random deployment. We use the outage probability due to co-channel
interference to evaluate the communication quality. Fenton-Wilkinson method is
applied to approximate the sum of log-normal random variables. Our algorithm is
compared against the existing distributed self-spreading algorithm. Simulation
results show that our approach achieves faster and stabler deployment and
maximizes the sen-sor coverage with minimum network consumption. Outage
probability, as a measure of communication quality gets effectively
decreased in our algorithm but it was not taken into consideration in the
distributed self-spreading algorithm.
In the case
of correlated binary sources, distributed source coding has been lit-erally
studied in information theory. However, data sources from real network
admission controlare normally non-binary. We proposed a spectrum efficient
coding scheme for correlated non-binary sources in network admission control.
Our approach constructs the codeword cosets for the interested source, taking
advantage of statistical characters of the distinct observa-tions from admission
control nodes. The coset leaders are then transmitted via the channel and
decoding is performed with the available side information. Simulations are
carried out over independent and identically distributed (i.i.d) Gaussian
sources and data collected from Xbow wireless network admission control test
bed. Simulation results show that the proposed scheme performs at 0.5 - 1.5 dB
from the Wyner-Ziv distortion bound.