NDLI: LeZi-Update: An Information-Theoretic Framework for Personal Mobility Tracking in PCS Networks

Content Provider	Springer Nature Link
Author	Bhattacharya, Amiya Das, Sajal K.
Copyright Year	2002
Abstract	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.
Starting Page	121
Ending Page	135
Page Count	15
File Format	PDF
ISSN	10220038
Journal	Wireless Networks
Volume Number	8
Issue Number	2-3
e-ISSN	15728196
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2002-01-01
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Computer Communication Networks Electronic and Computer Engineering Business Information Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Electrical and Electronic Engineering

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LeZi-Update: An Information-Theoretic Framework for Personal Mobility Tracking in PCS Networks