EnTracked: energy-efficient robust position tracking for mobile devices
Proceedings of the 7th international conference on Mobile systems, applications, and services
Energy-accuracy trade-off for continuous mobile device location
Proceedings of the 8th international conference on Mobile systems, applications, and services
Energy-efficient rate-adaptive GPS-based positioning for smartphones
Proceedings of the 8th international conference on Mobile systems, applications, and services
PerPos: a platform providing cloud services for pervasive positioning
Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application
Demonstrating EnTracked a system for energy-efficient position tracking for mobile devices
Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing - Adjunct
Energy-efficient positioning for smartphones using Cell-ID sequence matching
MobiSys '11 Proceedings of the 9th international conference on Mobile systems, applications, and services
EnAcq: energy-efficient GPS trajectory data acquisition based on improved map matching
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Context-aware and quality-aware algorithms for efficient mobile object management
Pervasive and Mobile Computing
Evaluating continuous probabilistic queries over imprecise sensor data
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part I
Moving range queries in distributed complex event processing
Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems
Probabilistic filters: A stream protocol for continuous probabilistic queries
Information Systems
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In location-based services, continuous queries are often employed to monitor the locations of mobile objects that are determined by sensing devices like GPS receivers. Due to limited battery resources, it is important for these objects to acquire and report location data only if necessary. We study how these energy-consuming operations can be reduced with a controlled impact on query accuracy of continuous range queries (CRQs). Specifically, we develop uncertainty-aware tolerances, which are user-defined error bounds that provide correctness guarantees, with consideration of different sources of data uncertainty: sensing uncertainty, sampling uncertainty, and communication delay. Novel algorithms are developed to control carefully when an object should acquire and update a location, while satisfying these tolerances. Extensive simulations validate the effectiveness of our methods.