PREDICTION IN WIRELESS NETWORKS BY MARKOV CHAINS

被引：34

作者：

Katsaros, Dimitrios ^{[2
]}

Manolopoulos, Yannis ^{[1
]}

机构：

[1] Aristotle Univ Thessaloniki, Dept Informat, Thessaloniki, Greece

[2] Univ Thessaly, Dept Comp & Commun Engn, Volos, Greece

来源：

IEEE WIRELESS COMMUNICATIONS | 2009年 / 16卷 / 02期

关键词：

COMPRESSION;

D O I：

10.1109/MWC.2009.4907561

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Discrete sequence modeling and prediction is an important goal and a challenge for pervasive computing. Mobile clients' data request forecasting and location tracking in wireless cellular networks are characteristic application areas of sequence prediction in pervasive Computing. This article presents information theoretic techniques for discrete sequence prediction. It surveys, classifies, and compares the state-of-the-art solutions, suggesting routes for further research by discussing the critical issues and challenges of prediction in wireless networks.

引用

页码：56 / 63

页数：8

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