Differential evolution for solving the mobile location management

被引：28

作者：

Almeida-Luz, Sonia M. ^{[1
]}

Vega-Rodriguez, Miguel A. ^{[2
]}

Gomez-Pulido, Juan A. ^{[2
]}

Sanchez-Perez, Juan M. ^{[2
]}

机构：

[1] Polytech Inst Leiria, Sch Technol & Management, Dept Comp Sci, P-2411901 Leiria, Portugal

[2] Univ Extremadura, Escuela Politecn, Dept Technol Comp & Commun, Caceres 10071, Spain

来源：

APPLIED SOFT COMPUTING | 2011年 / 11卷 / 01期

关键词：

Differential evolution; Location areas problem; Reporting cells problem; Location management; Costs optimization; ALGORITHMS;

D O I：

10.1016/j.asoc.2009.11.031

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this work we present two new approaches to solve the location management problem, respectively, based on the location areas and the reporting cells strategies. The location management problem corresponds to the management of the network configuration with the objective of minimizing the costs involved. We use the differential evolution algorithm to find the best configuration for the location areas and the reporting cells strategies, which principally considers the location update and paging costs. With this work we want to define the best values to the differential evolution configuration, using test networks and also realistic networks, as well as compare our results with the ones obtained by other authors. These two new approaches applied to this problem have given us very good results, when compared with those obtained by other authors. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：410 / 427

页数：18

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