ملخص: The complexity of the mobility tracking problem in a cellular environment has been characterized under an information-theoretic framework. Shannon's entropy measure is identified as a basis for comparing user mobility models. By building and maintaining a dictionary of individual user's path updates (as opposed to the widely used location updates), the proposed adaptive on-line algorithm can learn subscribers' profiles. This technique evolves out of the concepts of lossless compression. The compressibility of the variable-to-fixed length encoding of the acclaimed Lempel–Ziv family of algorithms reduces the update cost, whereas their built-in predictive power can be effectively used to reduce paging cost.

لغة: إنجليزية
الفهرس العشري 005.746 .ضغط البيانات (ضغط البيانات ، ضغط الملفات)
الموضوع الإعلام الآلي

الكلمات الدالة:
gestion de l'emplacement
modèle de mobilité
Compression LZ78