Energy-efficient rate-adaptive GPS-based positioning for smartphones

By Jeongyeup Paek, Joongheon Kim, Ramesh Govindan. ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services, 2010

553 citations recorded by the source corpus.

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Mobile Augmented Reality Survey: From Where We Are to Where We Go (2017, methodology): “Bluetooth was also used in many applications [40], [123], [198], [199], [200], [201], [202].”
Cellphone based Portable Bacteria Pre-Concentrating microfluidic Sensor and Impedance Sensing System (2013, background): “[15] Number of smartphone users in the U.S. from 2010 to 2016, (2012). www.statista.com [16] J. Paek, J. Kim, R. Govindan, Energy-efficient rate-adaptive GPS-based positioning for smartphones, (2010) 299-314.”
The Internet of Things: A Survey from the Data-Centric Perspective (2013, unknown): “Examples of specific methods include energy-timeliness tradeoffs [91], adaptive sampling [84], and application-specific collection modes [117].”
Recent Advances in Indoor Localization: A Survey on Theoretical Approaches and Applications (2017, methodology): “Another interesting approach resides in power cycling algorithms in smartphones [51].”
SensLoc: sensing everyday places and paths using less energy (2010, methodology): “Any positioning system available on the device can be used including GPS or systems supported by energy-efficient mechanisms [20, 25, 6, 15] to track paths.”