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dc.contributor.supervisor Thulasiraman, Parimala (Computer Science) Thulasiram, Ruppa (Computer Science) en_US
dc.contributor.author Rana, Himani
dc.date.accessioned 2012-12-18T16:28:39Z
dc.date.available 2012-12-18T16:28:39Z
dc.date.issued 2012-12-18
dc.identifier.uri http://hdl.handle.net/1993/13701
dc.description.abstract Vehicular Ad hoc Networks (VANET) exhibit highly dynamic behavior with high mobility and random network topologies. The performance of Transmission Control Protocols in such wireless ad hoc networks is plagued by a number of problems: frequent link failures, scalability, multi-hop data transmission and data loss. To address these VANET routing issues, I have used the ideas from swarm intelligence. The Ant Colony Optimization (ACO), which is a branch of swarm intelligence, is the main source of my inspiration. I have designed an ant-based routing algorithm which addresses routing issues prevalent in VANETs: adaptivity, robustness and scalability. One attractive feature of ACO is that they provide multiple routes from source to destination, resulting in more robust network. In this work, together with ACO, I have used the ideas from zone routing protocols to develop my algorithm: Mobility Aware Zone based Ant Colony Optimization Routing for VANET that exhibits locality and scalability. en_US
dc.rights info:eu-repo/semantics/openAccess
dc.subject Vehicular Ad hoc Networks en_US
dc.subject Ant Colony Optimization en_US
dc.subject Mobility Aware hybrid Zone routing en_US
dc.title MAZACORNET: Mobility Aware Zone based Ant Colony Optimization Routing for VANET en_US
dc.type info:eu-repo/semantics/masterThesis
dc.degree.discipline Computer Science en_US
dc.contributor.examiningcommittee Yahampath, Pradeepa (Electrical and Computer Engineering) Irani,Pourang (Computer Science) en_US
dc.degree.level Master of Science (M.Sc.) en_US
dc.description.note February 2013 en_US


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