Αποτελέσματα - Λεπτομέρειες
Εντολή Αναζήτησης : Συγγραφέας="AL"
Και Συγγραφέας="AGHA"
Και Συγγραφέας="Khaldoun"
Τρέχουσα Εγγραφή: 3 από 3
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Τίτλος |
Localization and Path Tracking Using the IEEE 802.11 Infrastructure |
Άλλος τίτλος |
Εντοπισμός θέσης και ιχνηλάτηση μονοπατιού με χρήση της υποδομής ΙΕΕΕ 802.11 |
Συγγραφέας
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Παπακωνσταντίνου, Αντωνία
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Σύμβουλος διατριβής
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JACQUET, Philippe
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Μέλος κριτικής επιτροπής
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AL AGHA, Khaldoun
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Μέλος κριτικής επιτροπής
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Manoussakis, Yannis
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Περίληψη |
The deployment of mobile networks is combined with special services such as geolocalization inside public buildings. This geolocalization cannot be established by the classic
ways of GPS, which does not work indoors. The geolocalization from GSM triangulation
is not precise enough. This thesis propose the development of a geolocalization’s protocol
based on the mesh structure of the network and the application of the statistic methods known as fuzzy logic and particle filters. It is an improvement of the Kalman Filter
method, without any constraint or assumption about the node mobility. The localization
algorithm is based on an analytical drift evaluation made with signal strength measure-
ments of the 802.11 infrastructure. At each step, the localization algorithm deduces the
optimal correction in the mobile node’s position based on the current estimated location,
the signal measurements and the known signal distribution database. In fact, the algorithm
relies on an analytical evaluation of the perturbation of the signal strength distribution
with respect to the most likely path, which corresponds to the discrepancy between the
real and estimated positions. At each step, the algorithm aims to correct this drift in the
node position. Consequently, the corrections performed result in a random walk, which on
average follows the real path taken by the mobile node, i.e. the expectation of the error in
the estimated position is 0. The performance of our approach is evaluated by numerical
simulations, as well as, by using real measurements.
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Γλώσσα |
Αγγλικά |
Ημερομηνία έκδοσης |
2007 |
Συλλογή
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Σχολή/Τμήμα--Σχολή Θετικών και Τεχνολογικών Επιστημών--Τμήμα Επιστήμης Υπολογιστών--Μεταπτυχιακές εργασίες ειδίκευσης
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Τύπος Εργασίας--Μεταπτυχιακές εργασίες ειδίκευσης
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Μόνιμη Σύνδεση |
https://elocus.lib.uoc.gr//dlib/a/d/1/metadata-dlib-1248429053-510750-30783.tkl
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Εμφανίσεις |
488 |