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Radio network algorithms for global communication
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Davies, Peter (2018) Radio network algorithms for global communication. PhD thesis, University of Warwick.
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WRAP_Theses_Davies_2018.pdf - Submitted Version - Requires a PDF viewer. Download (1234Kb) | Preview |
Official URL: http://webcat.warwick.ac.uk/record=b3438595~S15
Abstract
Radio networks are a distributed computing model capturing the behavior of devices that communicate via wireless transmissions. Applications of wireless networks have expanded hugely in recent decades due to their convenience and versatility. However, wireless communication presents practical difficulties, particularly in avoiding interference between transmissions. The radio network model provides a theoretical distillation of the behavior of such networks, in order to better understand and facilitate communication.
This thesis concerns fundamental global communication tasks in the radio network model: that is, tasks that require relaying messages throughout the entire network. Examples include broadcasting a message to all devices in a network, or reaching agreement on a single device to act as a coordinator.
We present algorithms to perform global tasks efficiently, and show improved asymptotic running times over a range of environments and model variants. Our results demonstrate an advance over the state of the art in radio network research, and in many cases reach or approach known lower bounds.
Item Type: | Thesis (PhD) | ||||
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Subjects: | H Social Sciences > HE Transportation and Communications Q Science > QA Mathematics T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Library of Congress Subject Headings (LCSH): | Cognitive radio networks, Algorithms, Digital communications, Wireless communication systems, Radio broadcasting | ||||
Official Date: | September 2018 | ||||
Dates: |
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Institution: | University of Warwick | ||||
Theses Department: | Department of Computer Science | ||||
Thesis Type: | PhD | ||||
Publication Status: | Unpublished | ||||
Supervisor(s)/Advisor: | Czumaj, Artur | ||||
Extent: | vi, 143 leaves | ||||
Language: | eng |
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