WHLocator

Lemieux, Nathan; Lutfiyya, Hanan

doi:10.1145/1568199.1568209

Cited by 5 publications

(3 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These technologies include: 1) infrared [13]; 2) sound [14][15][16][17]; 3) vision [18][19][20][21]; 4) inertial sensors [22,23]; 5) radio frequency (including both WiFi and Zigbee) [6,10,[24][25][26][27][28][29][30][31][32][33]; and 6) landmarks [34][35][36][37]. High-sensitivity GPS sensors have also been evaluated in indoor environments, however, even with the ability to receive signals up to 1000 times weaker than normal GPS, high-sensitivity GPS receiver is still unreliable for indoor environments [38,39].…”

Section: Introductionmentioning

confidence: 99%

Dynamic 3-D Indoor Radio Propagation Model and Applications with Radios from 433 MHZ to 2.4 GHz

2012

IJCNS

View full text Add to dashboard Cite

Proliferation of indoor sensor infrastructure has created a new niche for mobile communications, yet research in indoor radio propagation still has not generated a definite model that is able to 1) precisely capture radio signatures in 3-D environments and 2) effectively apply to radios at a wide range of frequency bands. This paper first introduces the impact of wall obstructions on indoor radio propagation by experimental results through a full cycle of an indoor construction process; it then exploits a dynamic 3-D indoor radio propagation model in a two-story building using radio technologies at both 433 MHz and 2.4 GHz. Experimental measurements and evaluation results show that the proposed 3-D model generates accurate signal strength values at all data evaluation positions. Comparing the two radio technologies, this study also indicates that low frequency radios (such as 433 MHz) might not be attractive for indoor mobile computing applications because of larger experimental errors or constant absence of measurement data.

show abstract

Section: Introductionmentioning

confidence: 99%

Dynamic 3-D Indoor Radio Propagation Model and Applications with Radios from 433 MHZ to 2.4 GHz

2012

IJCNS

View full text Add to dashboard Cite

show abstract

“…An image comparison algorithm is used to compare the images provided by the user with the ones in the database and a result is returned. The accuracy of this type of location estimation relies greatly on the number of images taken and assumption that each image stored in the database is different to a certain extent [14].…”

Section: Image Analysismentioning

confidence: 99%

“…One of the hybrid location estimation techniques WHLocator [14], utilizes three technologies: signal strength, imaging and altimeter. At any unknown location x the mobile device captures the signal strengths from the access points it can communicate with, compares these values with the database of signal strength collected during an offline phase and determines the rough location of the user in a 2D plane.…”

Section: Hybridmentioning

confidence: 99%