![](/images/graphics-bg.png)
Group Search Optimizer for the Mobile Location Management Problem
Joint Authors
Huang, Wei
Wang, Dan
Xiong, Congcong
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-11
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
We propose a diversity-guided group search optimizer-based approach for solving the location management problem in mobile computing.
The location management problem, which is to find the optimal network configurations of management under the mobile computing environment, is considered here as an optimization problem.
The proposed diversity-guided group search optimizer algorithm is realized with the aid of diversity operator, which helps alleviate the premature convergence problem of group search optimizer algorithm, a successful optimization algorithm inspired by the animal behavior.
To address the location management problem, diversity-guided group search optimizer algorithm is exploited to optimize network configurations of management by minimizing the sum of location update cost and location paging cost.
Experimental results illustrate the effectiveness of the proposed approach.
American Psychological Association (APA)
Wang, Dan& Xiong, Congcong& Huang, Wei. 2014. Group Search Optimizer for the Mobile Location Management Problem. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1049605
Modern Language Association (MLA)
Wang, Dan…[et al.]. Group Search Optimizer for the Mobile Location Management Problem. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1049605
American Medical Association (AMA)
Wang, Dan& Xiong, Congcong& Huang, Wei. Group Search Optimizer for the Mobile Location Management Problem. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1049605
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049605