Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"Congestion detection"”.
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The Design and Simulation of a Transport Protocol for Interactive Network Applications
… stability of a large scale internetwork through congestion detection and avoidance algorithms. Since TCP's inception in 1981, both the Internet and the applications which use it, have evolved. The result is a broad spectrum of data traffic, being transported by protocols which were developed …
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Reliable Bandwidth Conservative Queue-End Detection and Warning System Using Smart Phone Collaboration Techniques
… major components of public safety are: threat detection and notification. This thesis provides threat detection through sensor networks, collaboration of devices, and notification through three types of warning messages using cell broadcast technology. Most emergency conditions, be it natural …
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Congestion control, energy efficiency and virtual machine placement for data centers
… such as data center architecture design, congestion control, energy efficiency, virtual machine placement, and load balancing. The objective of this thesis is multi-fold. First, an enhanced Quantized Congestion Notification (QCN) congestion notification algorithm, called fair QCN (FQCN), …
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Energy-efficient routing and secure communication in wireless sensor networks
… consumption can also be reduced using efficient congestion detection and mitigation schemes. We propose an application-specific priority-based congestion control protocol for this purpose. The proposed protocol integrates mobility and heterogeneity of the nodes to detect congestion. Our proposed …
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Data Collection, Dissemination, and Security in Vehicular Ad Hoc Network
… research topics emerge, such as traffic-congestion detection and road-bump detection. After data are collected and processed, they are disseminated, such that other vehicles can collaboratively sense the road and traffic status. This motivates the need for data dissemination algorithms in …
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Design and evaluation of a novel convolutional neural network for short-term vehicle multi-traffic prediction
… are: traffic volume, traffic speed, and congestion state. In this thesis, we propose a convolutional neural net-work model that performs traffic forecasting for all three parameters, using historical integrated traffic data over a large area. The proposed model also predicts all three …