Title
Modeling and performance study of AP placement framework for indoor location-awareness and network performance
Abstract
This paper presents an AP (Access Point) placement framework considering indoor location-awareness and AP-based WLAN (Wireless Local Area Networks) performance enhancement. We first develop four objective functions that yield objective goals significant to the optimal AP placement in terms of location-awareness and network performance factors. Then, we develop three meta-heuristic algorithms based on simulated annealing, tabu search, and genetic algorithm. These algorithms generate a near-optimal solution for a given objective function. The performance of the AP placement framework presented in this paper is measured under the environments simulating indoor spaces, and numerical results obtained by experimental evaluation of proposed objective functions and algorithms confirm that the proposed AP placement framework can achieve a near-optimal solution to a given objective function.
Year
DOI
Venue
2014
10.1145/2557977.2557998
ICUIMC
Keywords
Field
DocType
proposed objective function,placement framework,performance enhancement,optimal ap placement,ap placement framework,indoor location-awareness,near-optimal solution,objective function,performance study,network performance factor,proposed ap placement framework,yield objective goal,network performance,modeling
Simulated annealing,Wireless,Performance enhancement,Computer science,Computer network,Real-time computing,Local area network,Genetic algorithm,Location awareness,Tabu search,Network performance
Conference
Citations 
PageRank 
References 
0
0.34
20
Authors
4
Name
Order
Citations
PageRank
Sung Woo Tak12314.34
Tae-Hoon Kim245953.02
Donglyul Kim301.01
Yougyung Kim401.01