%0 Conference Paper %1 horus2005 %A Youssef, Moustafa %A Agrawala, Ashok %B MobiSys '05: Proceedings of the 3rd international conference on Mobile systems, applications, and services %C New York, NY, USA %D 2005 %I ACM %K horis localization %P 205--218 %R 10.1145/1067170.1067193 %T The Horus WLAN location determination system %U http://portal.acm.org/citation.cfm?id=1067193 %X We present the design and implementation of the Horus WLAN location determination system. The design of the Horus system aims at satisfying two goals: high accuracy and low computational requirements. The Horus system identifies different causes for the wireless channel variations and addresses them to achieve its high accuracy. It uses location-clustering techniques to reduce the computational requirements of the algorithm. The lightweight Horus algorithm helps in supporting a larger number of users by running the algorithm at the clients.We discuss the different components of the Horus system and its implementation under two different operating systems and evaluate the performance of the Horus system on two testbeds. Our results show that the Horus system achieves its goal. It has an error of less than 0.6 meter on the average and its computational requirements are more than an order of magnitude better than other WLAN location determination systems. Moreover, the techniques developed in the context of the Horus system are general and can be applied to other WLAN location determination systems to enhance their accuracy. We also report lessons learned from experimenting with the Horus system and provide directions for future work. %@ 1-931971-31-5

@inproceedings{horus2005, abstract = {We present the design and implementation of the Horus WLAN location determination system. The design of the Horus system aims at satisfying two goals: high accuracy and low computational requirements. The Horus system identifies different causes for the wireless channel variations and addresses them to achieve its high accuracy. It uses location-clustering techniques to reduce the computational requirements of the algorithm. The lightweight Horus algorithm helps in supporting a larger number of users by running the algorithm at the clients.We discuss the different components of the Horus system and its implementation under two different operating systems and evaluate the performance of the Horus system on two testbeds. Our results show that the Horus system achieves its goal. It has an error of less than 0.6 meter on the average and its computational requirements are more than an order of magnitude better than other WLAN location determination systems. Moreover, the techniques developed in the context of the Horus system are general and can be applied to other WLAN location determination systems to enhance their accuracy. We also report lessons learned from experimenting with the Horus system and provide directions for future work.}, added-at = {2010-08-18T16:35:25.000+0200}, address = {New York, NY, USA}, author = {Youssef, Moustafa and Agrawala, Ashok}, biburl = {https://www.bibsonomy.org/bibtex/2a8ae6660349ee97c6a8d6282def25282/cscholz}, booktitle = {MobiSys '05: Proceedings of the 3rd international conference on Mobile systems, applications, and services}, doi = {10.1145/1067170.1067193}, interhash = {6abec1d8a220a77312d4b770296b9a9e}, intrahash = {a8ae6660349ee97c6a8d6282def25282}, isbn = {1-931971-31-5}, keywords = {horis localization}, location = {Seattle, Washington}, pages = {205--218}, publisher = {ACM}, timestamp = {2010-10-20T12:45:48.000+0200}, title = {The Horus WLAN location determination system}, url = {http://portal.acm.org/citation.cfm?id=1067193}, year = 2005 }