The cricket compass for context-aware mobile applications

By Bodhi Priyantha, Allen K. L. Miu, Hari Balakrishnan, Seth J. Teller. ACM/IEEE International Conference on Mobile Computing and Networking, 2001

686 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/0e4ade87ce468690926f153bc413d53a5034a9e4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Computer Vision and Pattern Recognition

In Electrical and Electronic Engineering

Citations in the corpus

The Cricket indoor location system (2005, background): “This dissertation presents a unique sensor placement and signal analysis technique that resolves the phase ambiguity problem in phase-difference based differential distance estimation [72].”
Location, Localization, and Localizability (2010, background): “Those methods can obtain accuracy within a few degrees([31]).”
Localization systems for wireless sensor networks (2007, methodology): “These signals must have different propagation speeds, like radio/ultrasound [ 7 ] or radio/acoustic [2].”
Localization Algorithms and Strategies for Wireless Sensor Networks: Monitoring and Surveillance Techniques for Target Tracking (2009, methodology): “For the simplistic RSS model this bound has been given by Qi and Kobayashi (2003) as:”
Ad hoc positioning system (APS) using AOA (2003, methodology): “This is currently available in small formats in wireless networked nodes such as the one developed by the Cricket Compass project[6] from MIT.”
Zero-Configuration, Robust Indoor Localization: Theory and Experimentation (2006, background): “Its successor Active Bat [17] and MIT Cricket [11], [18] are based on the ultrasound technology.”
Data-centric storage in sensornets (2003, background): “GPS or some other approximate but less burdensome localization algorithm [3, 7, 16, 17, 20] pr ovides this information.”
World-Driven Access Control for Continuous Sensing (2014, background): “, encoding a policy in the signal [33].”
GHT: a geographic hash table for data-centric storage (2002, methodology): “This can be achieved through the use of GPS or some other approximate but less burdensome localization technique [3, 8, 19, 20, 22].”
TinyOS: An Operating System for Sensor Networks (2005, background): “Several projects use more traditional embedded systems (such as PDAs [16]) or customized hardware [64].”
Robotics-Based Location Sensing Using Wireless Ethernet (2002, methodology): “It has been claimed in previous works, such as Cricket [32, 33], that a location support system can be implemented in such a way as to localize a user only if she is willing to be localized.”
Mobile-assisted localization in wireless sensor networks (2005, background): “Localization is also useful in indoor location infrastructures such as Cricket [8], [9] and Bat [10], in which reference nodes at various “known” locations in a building provide location information to mobile devices and sensor nodes.”
Data-Centric Storage in Sensornets with GHT, a Geographic Hash Table (2003, methodology): “This can be achieved through the use of GPS or some other approximate but less burdensome localization technique [4] [9] [22] [23] [25].”
Broadband ultrasonic location systems for improved indoor positioning (2006, methodology): “For information on obtaining reprints of this article, please send e-mail to: tmc@computer.org, and reference IEEECS Log Number TMC-0136-0404.”