The limits of localization using signal strength: a comparative study
By Eiman Elnahrawy, Xiaoyan Li, Richard P. Martin. 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004., 2004
677 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/6dc47d2b1b2b1a94654879889f5200d291d50bf4
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In Computer Networks and Communications
- Baris Fidan
- Guoqiang Mao
- Kamin Whitehouse
- Chris Karlof
- Bodhi Priyantha
- David E. Culler
- Anthony LaMarca
- B.D.O. Anderson
In Electrical and Electronic Engineering
- Baris Fidan
- Guoqiang Mao
- Kamin Whitehouse
- David E. Culler
- Alex Varshavsky
- Wafa Shuaieb
- Eyal de Lara
- Huthaifa Obeidat
In Ocean Engineering
- Baris Fidan
- Guoqiang Mao
- Kamin Whitehouse
- David E. Culler
- B.D.O. Anderson
- Bodhi Priyantha
- Amitangshu Pal
- Philipp Bolliger
Citations in the corpus
- A practical evaluation of radio signal strength for ranging-based localization (2007, background): “11 [15, 8, 6], VHF [5], cellular radios [28, 3], and most recently low-power wireless sensor networks [18].”
- The Cricket indoor location system (2005, background): “11-based indoor location systems have fundamental limits that result in a median position estimation error of ' 3 m [32].”
- Localization Algorithms in Wireless Sensor Networks: Current Approaches and Future Challenges (2010, background): “In [26], the authors characterize the limits of a variety of approaches to indoor localization using signal strengths from 802.”
- Wireless sensor network localization techniques (2007, methodology): “[35] also considered three different techniques for the area based algorithms, viz.”
- Indoor Localization System using RSSI Measurement of Wireless Sensor Network based on ZigBee Standard (2006, methodology): “An inexpensive RF-based approach with low configuration requirements has been studied [3-6].”
- Accurate GSM Indoor Localization (2005, background): “Most research on indoor localization systems has been based on the use of short-range signals, such as WiFi [3,5,11], Bluetooth [1], ultra sound [15], or infrared [16].”
- A Review of Indoor Localization Techniques and Wireless Technologies (2021, background): “36 [196]: where P ( L j ss ) is the probability that the mobile is located at the location L j given that the RSS vector is ( ss ).”