SOWER: self-organizing wireless network for messaging
Proceedings of the 2nd ACM international workshop on Wireless mobile applications and services on WLAN hotspots
ARIADNE: a dynamic indoor signal map construction and localization system
Proceedings of the 4th international conference on Mobile systems, applications and services
Low cost solution for location determination of mobile nodes in a wireless local area network
Proceedings of the 2006 ACM SIGCHI international conference on Advances in computer entertainment technology
Low cost solution for location determination of mobile nodes in a wireless local area network
Proceedings of the 2006 ACM SIGCHI international conference on Advances in computer entertainment technology
Semi-empirical method for simulating wireless indoor attenuation
International Journal of Advanced Media and Communication
On predicting in-building WiFi coverage with a fast discrete approach
International Journal of Mobile Network Design and Innovation
Correlated link shadow fading in multi-hop wireless networks
IEEE Transactions on Wireless Communications
Characterizing indoor wireless channels via ray tracing combined with stochastic modeling
IEEE Transactions on Wireless Communications
A new ray optical statistical model for multipath characteristics pertinent to indoor geolocation
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Modelling indoor electrosmog: an application in the planning of wireless networks
MS '08 Proceedings of the 19th IASTED International Conference on Modelling and Simulation
A new nonstationary Gaussian noise model for indoor wireless channels
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Indoor localisation robustness and performance improvement
International Journal of Communication Networks and Distributed Systems
Validation of three-dimensional ray-tracing algorithm for Indoor wireless propagations
ISRN Communications and Networking
Dynamic indoor localization using wireless ethernet: the ARIADNE system
WWIC'06 Proceedings of the 4th international conference on Wired/Wireless Internet Communications
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The ray-tracing (RT) algorithm has been used for accurately predicting the site-specific radio propagation characteristics, in spite of its computational intensity. Statistical models, on the other hand, offers computational simplicity but low accuracy. In this paper, a new model is proposed for predicting the indoor radio propagation to achieve computational simplicity over the RT method and better accuracy than the statistical models. The new model is based on the statistical derivation of the ray-tracing operation, whose results are a number of paths between the transmitter and receiver, each path comprises a number of rays. The pattern and length of the rays in these paths are related to statistical parameters of the site-specific features of indoor environment, such as the floor plan geometry. A key equation is derived to relate the average path power to the site-specific parameters, which are: 1) mean free distance; 2) transmission coefficient; and 3) reflection coefficient. The equation of the average path power is then used to predict the received power in a typical indoor environment. To evaluate the accuracy of the new model in predicting the received power in a typical indoor environment, a comparison with RT results and with measurement data shows an error bound of less than 5 dB