Cited by 1,653Indoor and Outdoor Localization TechnologiesWireless Networks and ProtocolsIPv6, Mobility, Handover, Networks, Security

The Horus WLAN location determination system

Youssef, Moustafa, Agrawala, Ashok·2005·Proceedings of the 3rd international conference on Mobile systems, applications, and services

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.

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Crossref · 10.1145/1067170.1067193

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  • Horus uses the simple computation complexity of Bayesian inference method, thus having better performance than SDNNLoc.

    “However, Horus uses the simple computation complexity of Bayesian inference method, thus having better performance than SDNNLoc.”
  • The SDNNLoc system is more accurate than the other two, with fewer location errors.

    “The SDNNLoc system is more accurate than the other two, with fewer location errors.”

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Authors
Youssef, M., & Agrawala, A.
Affiliations
University of Maryland, College Park (US)
Venue
Proceedings of the 3rd international conference on Mobile systems, applications, and services
Publisher
ACM
Published
2005-06-06
Pages
205-218
OpenAlex
W2051376734
Cited by
1,653
References
0
Citations by year
2026: 30 · 2025: 52 · 2024: 40 · 2023: 64 · 2022: 69 · 2021: 91 · 2020: 104 · 2019: 146 · 2018: 160 · 2017: 132 · 2016: 119 · 2015: 125 · 2014: 126 · 2013: 71 · 2012: 84
FWCI
61.03
Type
conference paper
Language
en
Open access
closed
Locations
International Conference on Mobile Systems, Applications, and Services (publishedVersion)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Indoor and Outdoor Localization Technologies
  • Physical Sciences › Computer Science › Computer Networks and Communications › Wireless Networks and Protocols
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › IPv6, Mobility, Handover, Networks, Security
Keywords
indoor positioning, location clustering, positioning accuracy, computational efficiency, testbed evaluation

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