title: Improved Object Localization Using Accurate Distance Estimation in Wireless Multimedia Sensor Networks.
abstract: Object localization plays a key role in many popular applications of Wireless Multimedia Sensor Networks (WMSN) and as a result, it has acquired a significant status for the research community. A significant body of research performs this task without considering node orientation, object geometry and environmental variations. As a result, the localized object does not reflect the real world scenarios. In this paper, a novel object localization scheme for WMSN has been proposed that utilizes range free localization, computer vision, and principle component analysis based algorithms. The proposed approach provides the best possible approximation of distance between a wmsn sink and an object, and the orientation of the object using image based information. Simulation results report 99% efficiency and an error ratio of 0.01 (around 1 ft) when compared to other popular techniques.
authors.affiliation: NUSys Lab/ National University of Computer and Emerging Sciences (NUCES), Peshawar, KPK, Pakistan; Department of Electrical Engineering/City University of Science and Information Technology, Peshawar, KPK, Pakistan.
authors.forename: Yasar Abbas
authors.initials: YA
authors.lastname: Ur Rehman
authors.affiliation: NUSys Lab/ National University of Computer and Emerging Sciences (NUCES), Peshawar, KPK, Pakistan.
authors.forename: Muhammad
authors.initials: M
authors.lastname: Tariq
authors.affiliation: NUSys Lab/ National University of Computer and Emerging Sciences (NUCES), Peshawar, KPK, Pakistan.
authors.forename: Omar Usman
authors.initials: OU
authors.lastname: Khan
mesh_terms: D000465:Algorithms; D008962:Models, Theoretical; D019212:Multimedia; D059015:Wireless Technology