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Localization Of Sensors In Presence Of Fading And Mobility, Hamzeh Hussain Omari
Localization Of Sensors In Presence Of Fading And Mobility, Hamzeh Hussain Omari
Electronic Theses and Dissertations
The objective of this dissertation is to estimate the location of a sensor through analysis of signal strengths of messages received from a collection of mobile anchors. In particular, a sensor node determines its location from distance measurements to mobile anchors of known locations. We take into account the uncertainty and fluctuation of the RSS as a result of fading and take into account the decay of the RSS which is proportional to the transmitter-receiver distance power raised to the PLE. The objective is to characterize the channel in order to derive accurate distance estimates from RSS measurements and then …
Divergence And Bayes Error Based Soft Decision For Decentralized Signal Detection Of Correlated Sensor Data, Roopa Shree Rajanna
Divergence And Bayes Error Based Soft Decision For Decentralized Signal Detection Of Correlated Sensor Data, Roopa Shree Rajanna
Electronic Theses and Dissertations
No abstract provided.
Elliptical Metasurfaces For Cloaking And Antenna Applications At Microwave And Terahertz Frequencies, Hossein Mehrpourbernety
Elliptical Metasurfaces For Cloaking And Antenna Applications At Microwave And Terahertz Frequencies, Hossein Mehrpourbernety
Electronic Theses and Dissertations
No abstract provided.
Implementation Of A Raptorq-Based Protocol For Peer To Peer Network, Yuzhu Bai
Implementation Of A Raptorq-Based Protocol For Peer To Peer Network, Yuzhu Bai
Electronic Theses and Dissertations
The object of this thesis is to develop and test a Ruby based implementation of the RaptorQP2P protocol. The RaptorQP2P protocol is a novel peer-to-peer protocol based on RaptorQ forward error correction. This protocol facilitates delivery of a single file to a large number of peers. It applies two levels of RaptorQ encoding to the source file before packet transmission. Download completion time using RaptorQP2P was found to be significantly improved comparing to BitTorrent. We developed a Ruby interface to the Qualcomm proprietary RaptorQ software development kit library. Then we achieved the two levels of RaptorQ encoding and decoding with …
Mcmc- Based Optimization And Application, Xiaobin Wu
Mcmc- Based Optimization And Application, Xiaobin Wu
Electronic Theses and Dissertations
In the thesis, we study the theory of Markov Chain Monte Carlo (MCMC) and its application in statistical optimization. The MCMC method is a class of evolutionary algorithms for generating samples from given probability distributions. In the thesis, we first focus on the methods of slice sampling and simulated annealing. While slice sampling has a merit to generate samples based on the underlying distribution with adjustable step size, simulated annealing can facilitate samples to jump out of local optima and converge quickly to the global optimum. With this MCMC method, we then solve two practical optimization problems. The first problem …