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dc.contributor.advisorMagill, Evan-
dc.contributor.advisorKolberg, Mario-
dc.contributor.authorBlum, Jesse Michael-
dc.description.abstractThis thesis presents a study into conflicts that emerge amongst sensor device rules when such devices are formed into networks. It describes conflicting patterns of communication and computation that can disturb the monitoring of subjects, and lower the quality of service. Such conflicts can negatively affect the lifetimes of the devices and cause incorrect information to be reported. A novel approach to detecting and resolving conflicts is presented. The approach is considered within the context of home-based psychiatric Ambulatory Assessment (AA). Rules are considered that can be used to control the behaviours of devices in a sensor network for AA. The research provides examples of rule conflict that can be found for AA sensor networks. Sensor networks and AA are active areas of research and many questions remain open regarding collaboration amongst collections of heterogeneous devices to collect data, process information in-network, and report personalised findings. This thesis presents an investigation into reliable rule-based service provisioning for a variety of stakeholders, including care providers, patients and technicians. It contributes a collection of rules for controlling AA sensor networks. This research makes a number of contributions to the field of rule-based sensor networks, including areas of knowledge representation, heterogeneous device support, system personalisation, and in particular, system reliability. This thesis provides evidence to support the conclusion that conflicts can be detected and resolved in adaptable rule-based sensor networks.en_GB
dc.publisherUniversity of Stirlingen_GB
dc.subjectcomputing scienceen_GB
dc.subjectrule-based networksen_GB
dc.subjectconflict analysisen_GB
dc.subject.lcshRule-based programmingen_GB
dc.subject.lcshComputer networksen_GB
dc.titleHandling Emergent Conflicts in Adaptable Rule-based Sensor Networksen_GB
dc.typeThesis or Dissertationen_GB
dc.type.qualificationnameDoctor of Philosophyen_GB
dc.contributor.funderEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.contributor.affiliationSchool of Natural Sciencesen_GB
dc.contributor.affiliationComputing Science and Mathematicsen_GB
Appears in Collections:Computing Science and Mathematics eTheses

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