Numerical Approach to Performance Analysis of Multi-Parametric CAC in Multi-Service Wireless Networks

Melikov, Agassi; Fattakhova, M. I.

doi:10.5772/16069

Cited by 1 publication

(1 citation statement)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Regardless of the type of radio technology, there are four signal parameters which can be used for user positioning in radio networks [3]: AOA (Angle Of Arrival), TOA (Time Of Arrival), TDOA (Time Difference Of Arrival), and RSS. AOA parameter is very sensitive to the NLOS (Non-Line-Of-Sight) propagation conditions and multiple propagation, being the main characteristics of indoor propagation [4].…”

Section: Introductionmentioning

confidence: 99%

Multidimensional Optimization of Signal Space Distance Parameters in WLAN Positioning

Brkovic

Simić

2014

The Scientific World Journal

View full text Add to dashboard Cite

Accurate indoor localization of mobile users is one of the challenging problems of the last decade. Besides delivering high speed Internet, Wireless Local Area Network (WLAN) can be used as an effective indoor positioning system, being competitive both in terms of accuracy and cost. Among the localization algorithms, nearest neighbor fingerprinting algorithms based on Received Signal Strength (RSS) parameter have been extensively studied as an inexpensive solution for delivering indoor Location Based Services (LBS). In this paper, we propose the optimization of the signal space distance parameters in order to improve precision of WLAN indoor positioning, based on nearest neighbor fingerprinting algorithms. Experiments in a real WLAN environment indicate that proposed optimization leads to substantial improvements of the localization accuracy. Our approach is conceptually simple, is easy to implement, and does not require any additional hardware.

show abstract

Section: Introductionmentioning

confidence: 99%