| Summary: | This thesis considers resource management issues in wireless sensor networks (WSNs),
wireless local area networks (WLANs), and cognitive radio (CR) networks. Since energy
is a critical resource in WSNs, we consider energy minimization techniques based on
explicit node cooperation and distributed source coding (DSC). The explicit node cooperation based on space time block codes (STBC) improves energy efficiency of WSNs,
by reducing the energy consumption per bit of each sensor node. The DSC on the other
hand exploits the spatial correlation in WSNs, and thus reduces the data generated in
a WSN. For the purpose of our analysis, we model the spatial correlation according to
a linear Gauss-Markov model. Through our numerical results, we observe that the node
cooperation combined with DSC can improve energy efficiency for many cases of interest.
A unique aspect of our work is we obtain important structural results using the concepts from monotone comparative statics. These structural results provide insights into the general design of WSNs. Through our numerical results, we also demonstrate that,
the cooperation based transmission can achieve better mutual information (MI)-energy
tradeoff than the non-cooperation based transmission scheme. From the perspective of
WLANs, we propose a price based approach to regulate the channel occupancy of low rate
users, which is known to be the primary cause for low overall throughput in WLANs. Owing to the decentralized nature of WLANs we use non-cooperative game theory as a tool for analysis. Specifically, we use supermodular game theory. Through our analysis, we show that an increase in price leads to an increase in rate of WLAN users. We also prove that the best response dynamics indeed converge to the Nash equilibrium of the
underlying non-cooperative game. Through our numerical results, we demonstrate that
by proper tuning of the price, the proposed price based approach can lead to an improvement in overall throughput of a WLAN. Finally from the perspective of CR networks, we consider the impact of number of channels captured by a secondary user on its transmission control protocol (TCP) throughput. From our simulation results it was found that, there exists a definite optimal number of channels a secondary user needs to capture, to maximize its TCP throughput. === Applied Science, Faculty of === Electrical and Computer Engineering, Department of === Graduate
|
|---|
