Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.629184
Title: Hierarchical wireless framework for real-time collaborative generation and distribution of telemetry data
Author: Kucukdurgut, I.
Awarding Body: Nottingham Trent University
Current Institution: Nottingham Trent University
Date of Award: 2010
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Abstract:
This project introduces a novel multidisciplinary approach combining Vehicular Ad Hoc Networks and Granular Computing, to the data processing and information generation problem in large urban traffic systems. It addresses the challenge of realtime information generation and dissemination in such systems by designing and investigating a hierarchical real-time information framework. The research work is complemented by designing and developing a simulator for such a system, which provides a simulation environment for the model developed. The proposed multidisciplinary hierarchical real-time information processing and dissemination system framework utilises results from two different areas of study, which are Vehicular Ad Hoc Networks (VANETS) and Granular Computing concepts. Furthermore, a new geographically constrained VANET topology for information generation is proposed, simulated and investigated. The simulator is developed to model the proposed system and to help with the proof of concept investigation of the system. Its components have been designed and implemented to demonstrate how such multidisciplinary architectures can be simulated. Simulations using the hierarchical information framework have been run, and the results reported in the thesis suggest the feasibility of the concept. The system model and the simulator demonstrate that building future large and complex systems in terms of scalability and real-time information induction based on distributed nodes environment algorithms is possible. Both the system architecture and the simulator model are novel and they provide an important step towards achieving a solution to building infinitely scalable real-time information processing urban traffic systems.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.629184  DOI: Not available
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