Beep: 3D indoor positioning using audible sound

Atri Mandai*, Cristina V. Lopes, Tony Givargis, Amir Haghighat, Raja Jurdak, Pierre Baldi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

136 Citations (Scopus)


Rapid growth in the number of wireless enabled devices has led to an increased interest in location-aware applications. The backbone of such applications is provided by a location system. In this paper we present Beep, an indoor location system that senses audible sound. The use of audible sound makes our system cheap and easily deployable to most existing roaming devices. Unlike positioning systems using ultrasound and infrared signals, Beep does not require the user to carry any kind of specialized hardware. Our system is based on standard 3D multilateration algorithms. However, the requirement of being able to locate existing devices, whose sound cards were not designed for high-precision signaling, introduces additional challenges to the location problem. This paper describes how those problems were solved and presents experimental results. Beep works with an accuracy of about 2 feet in more than 97% cases. The paper also describes a sensor deployment strategy that requires low sensor density and consequently low installation costs.

Original languageEnglish
Title of host publicationSecond IEEE Consumer Communications and Networking Conference, 2005. CCNC. 2005
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Print)0780387848, 9780780387843
Publication statusPublished - 2005
Externally publishedYes
Event2005 2nd IEEE Consumer Communications and Networking Conference, CCNC2005 - Las Vegas, NV, United States
Duration: 3 Jan 20056 Jan 2005


Other2005 2nd IEEE Consumer Communications and Networking Conference, CCNC2005
Country/TerritoryUnited States
CityLas Vegas, NV


  • 3D multilateration
  • Audible sound
  • Indoor positioning
  • Location-based services
  • Pervasive computing
  • Sensor density


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