Optimization of Signal Routing in Disruption-Tolerant Networks

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dc.contributor.advisorEphremides, Anthonyen_US
dc.contributor.authorSingam, Caitlynen_US
dc.contributor.departmentSystems Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2021-07-14T05:39:08Z
dc.date.available2021-07-14T05:39:08Z
dc.date.issued2021en_US
dc.description.abstractCommunication networks are prone to disruption due to inherent uncertainties such as environmental conditions, system outages, and other factors. However, current state-of-the-art communication protocols are not yet optimized for communication in highly disruption-prone environments, such as deep space, where the risk of such uncertainties is not negligible. This work involves the development of a novel protocol for disruption-tolerant communication across space-based networks that avoids idealized assumptions and is consistent with system limitations. The proposed solution is grounded in an approach to information as a time-based commodity, and on reframing the problem of efficient signal routing as a problem of value optimization. The efficacy of the novel protocol was evaluated via a custom Monte Carlo simulation against other state-of-the-art protocols in terms of maintaining both data integrity and transmission speed, and was found to provide a consistent advantage across both metrics of interest.en_US
dc.identifierhttps://doi.org/10.13016/sxzs-l2w4
dc.identifier.urihttp://hdl.handle.net/1903/27489
dc.language.isoenen_US
dc.subject.pqcontrolledSystems scienceen_US
dc.subject.pqcontrolledAerospace engineeringen_US
dc.subject.pqcontrolledElectrical engineeringen_US
dc.subject.pquncontrolledDTNen_US
dc.subject.pquncontrollednetworken_US
dc.subject.pquncontrolledoptimizationen_US
dc.subject.pquncontrolledroutingen_US
dc.subject.pquncontrolledsatelliteen_US
dc.subject.pquncontrolledspace systemsen_US
dc.titleOptimization of Signal Routing in Disruption-Tolerant Networksen_US
dc.typeThesisen_US

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