Goal-Programming-Driven Genetic Algorithm Model for Wireless Access Point Deployment Optimization
Joint Authors
Wang, Chen-Shu
Chang, Ching-Ter
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-07-12
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Appropriate wireless access point deployment (APD) is essential for ensuring seamless user communication.
Optimal APD enables good telecommunication quality, balanced capacity loading, and optimal deployment costs.
APD is a typical NP-complex problem because improving wireless networking infrastructure has multiple objectives (MOs).
This paper proposes a method that integrates a goal-programming-driven model (PM) and a genetic algorithm (GA) to resolve the MO-APD problem.
The PM identifies the target deployment subject of four constraints: budget, coverage, capacity, and interference.
The PM also calculates dynamic capacity requirements to replicate real wireless communication.
Three experiments validate the feasibility of the PM.
The results demonstrate the utility and stability of the proposed method.
Decision makers can easily refer to the PM-identified target deployment before allocating APs.
American Psychological Association (APA)
Wang, Chen-Shu& Chang, Ching-Ter. 2012. Goal-Programming-Driven Genetic Algorithm Model for Wireless Access Point Deployment Optimization. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-1001909
Modern Language Association (MLA)
Wang, Chen-Shu& Chang, Ching-Ter. Goal-Programming-Driven Genetic Algorithm Model for Wireless Access Point Deployment Optimization. Mathematical Problems in Engineering No. 2012 (2012), pp.1-14.
https://search.emarefa.net/detail/BIM-1001909
American Medical Association (AMA)
Wang, Chen-Shu& Chang, Ching-Ter. Goal-Programming-Driven Genetic Algorithm Model for Wireless Access Point Deployment Optimization. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-1001909
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1001909