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dc.contributor.authorElmogy, Ahmed Mohamed 15:37:43 (GMT) 15:37:43 (GMT)
dc.description.abstractThe active surveillance of public and private sites is increasingly becoming a very important and critical issue. It is therefore, imperative to develop mobile surveillance systems to protect these sites. Modern surveillance systems encompass spatially distributed mobile and static sensors in order to provide effective monitoring of persistent and transient objects and events in a given Area Of Interest (AOI). The realization of the potential of mobile surveillance requires the solution of different challenging problems such as task allocation, mobile sensor deployment, multisensor management, cooperative object detection and tracking, decentralized data fusion, and interoperability and accessibility of system nodes. This thesis proposes a market-based framework that can be used to handle different problems of mobile surveillance systems. Task allocation and cooperative target-tracking are studied using the proposed framework as two challenging problems of mobile surveillance systems. These challenges are addressed individually and collectively.en
dc.publisherUniversity of Waterlooen
dc.subjectMarket_based approachen
dc.subjectTask allocationen
dc.subjectTarget detection and trackingen
dc.subjectSurveillance systemsen
dc.titleMarket_based Framework for Mobile Surveillance Systemsen
dc.typeDoctoral Thesisen
dc.subject.programElectrical and Computer Engineeringen and Computer Engineeringen
uws-etd.degreeDoctor of Philosophyen

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