The Impact of AP Placement in WLAN-Based Indoor Positioning System

Baala, Oumaya; Zheng, You; Caminada, Alexandre

doi:10.1109/icn.2009.50

Cited by 52 publications

(37 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…ey compared the positioning performance obtained from different RN placements, such as comparing the placement of various basic geometric layouts [9], symmetrical/unsymmetrical layouts [10], or overlapping and hierarchical clustering [11]. Other system design researches aimed at developing the RN-placement techniques to determine the optimum number and location.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Robust System Design Using BILP for Wireless Indoor Positioning Systems

Maneerat

Kaemarungsi

2018

Mobile Information Systems

View full text Add to dashboard Cite

In wireless indoor positioning system designs, reference node (RN) failures during the online phase cause received signal strength values to be unavailable. is leads to accuracy performance degradation and a lack of system reliability in smart office systems. Moreover, the major design concern in the reliability of indoor positioning systems under the faulty RNs during the online phase has not been yet investigated in previous works. To address these gaps, we propose a novel mathematical formulation using a Binary Integer Linear Programming (BILP) approach that employs the Simulated Annealing (SA) solution technique. e proposed robust system design aims to put in place a suitable number of RNs and to determine their optimum locations, which may be located on a single floor or on multiple floors. In particular, the proposed system design provisions to support robust operation both during a normal situation and when there are some RN failures. Experimental results and comparative performance evaluation revealed that the proposed robust system design outperformed other system designs and was able to achieve the highest location accuracy performance in both fault-free and RN-failure scenarios. Specifically, when nine of the RNs in a three-story building failed, the proposed system design achieved 84.6%, 54.7%, and 32.9% more accurate performance than the Uniform, the MSMR, and the PhI-Uni, respectively.

show abstract

Section: Introductionmentioning

confidence: 99%

“…In [9][10][11], the authors investigated the impact of reference node (RN) placement on location accuracy performance.…”

Section: Introductionmentioning

confidence: 99%

Robust System Design Using BILP for Wireless Indoor Positioning Systems

Maneerat

Kaemarungsi

2018

Mobile Information Systems

View full text Add to dashboard Cite

show abstract

“…The authors in [14] proposed that the number and locations of APs, the physical layout and the mean of RSS measurements at each RP have a significant impact on localization precision. To optimize AP placement, the existing approaches are generally based on the signal coverage, service connectivity, network throughput and transmission rate [15].…”

Section: Related Workmentioning

confidence: 99%

An Information-Based Approach to Precision Analysis of Indoor WLAN Localization Using Location Fingerprint

Zhou

Qiu

Tian

et al. 2015

Entropy

View full text Add to dashboard Cite

Abstract:In this paper, we proposed a novel information-based approach to precision analysis of indoor wireless local area network (WLAN) localization using location fingerprint. First of all, by using the Fisher information matrix (FIM), we derive the fundamental limit of WLAN fingerprint-based localization precision considering different signal distributions in characterizing the variation of received signal strengths (RSSs) in the target environment. After that, we explore the relationship between the localization precision and access point (AP) placement, which can provide valuable suggestions for the design of the highly-precise localization system. Second, we adopt the heuristic simulated annealing (SA) algorithm to optimize the AP locations for the sake of approaching the fundamental limit of localization precision. Finally, the extensive simulations and experiments are conducted in both regular line-of-sight (LOS) and irregular non-line-of-sight (NLOS) environments to demonstrate that the proposed approach can not only effectively improve the WLAN fingerprint-based localization precision, but also reduce the time overhead.

show abstract

“…The location optimization of Wi-Fi access points (AP) for fingerprint based positioning is a similar issue which has been investigated in some recent works. Baala et al in [15] showed via measurements that the number and placement of the APs can have substantial impact on the position accuracy. But the authors do not propose a systematic way for finding an optimal AP deployment, rather the results are based on experiments.…”

Section: Related Workmentioning

confidence: 99%

Placement Optimization of Reference Sensors for Indoor Tracking

Farkas

2015

APH

View full text Add to dashboard Cite

The Impact of AP Placement in WLAN-Based Indoor Positioning System

Cited by 52 publications

References 8 publications

Robust System Design Using BILP for Wireless Indoor Positioning Systems

Robust System Design Using BILP for Wireless Indoor Positioning Systems

An Information-Based Approach to Precision Analysis of Indoor WLAN Localization Using Location Fingerprint

Placement Optimization of Reference Sensors for Indoor Tracking

Contact Info

Product

Resources

About