Cost and Imprecision in Modeling the Position of Moving Objects
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Capturing the Uncertainty of Moving-Object Representations
SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
Managing uncertainty in moving objects databases
ACM Transactions on Database Systems (TODS)
Spatio-temporal data reduction with deterministic error bounds
The VLDB Journal — The International Journal on Very Large Data Bases
Moving Objects Databases (The Morgan Kaufmann Series in Data Management Systems) (The Morgan Kaufmann Series in Data Management Systems)
The BikeNet mobile sensing system for cyclist experience mapping
Proceedings of the 5th international conference on Embedded networked sensor systems
Proceedings of the 7th international conference on Mobile systems, applications, and services
StarTrack: a framework for enabling track-based applications
Proceedings of the 7th international conference on Mobile systems, applications, and services
EnTracked: energy-efficient robust position tracking for mobile devices
Proceedings of the 7th international conference on Mobile systems, applications, and services
Remote real-time trajectory simplification
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Ambulation: A Tool for Monitoring Mobility Patterns over Time Using Mobile Phones
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
A taxonomy for radio location fingerprinting
LoCA'07 Proceedings of the 3rd international conference on Location-and context-awareness
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
Improving energy efficiency of location sensing on smartphones
Proceedings of the 8th international conference on Mobile systems, applications, and services
Towards mobile phone localization without war-driving
INFOCOM'10 Proceedings of the 29th conference on Information communications
SensLoc: sensing everyday places and paths using less energy
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
PerPos: a translucent positioning middleware supporting adaptation of internal positioning processes
Proceedings of the ACM/IFIP/USENIX 11th International Conference on Middleware
Location-Based Services on Mobile Phones: Minimizing Power Consumption
IEEE Pervasive Computing
Enriching location information: an energy-efficient approach
Proceedings of the 13th international conference on Ubiquitous computing
A two-layer approach for energy efficiency in mobile location sensing applications
IFIP'12 Proceedings of the 11th international IFIP TC 6 conference on Networking - Volume Part II
Low cost positioning by matching altitude readings with crowd-sourced route data
Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia
effSense: energy-efficient and cost-effective data uploading in mobile crowdsensing
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
On heterogeneity in mobile sensing applications aiming at representative data collection
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Accelerometer-based transportation mode detection on smartphones
Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
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Emergent location-aware applications often require tracking trajectories of mobile devices over a long period of time. To be useful, the tracking has to be energy-efficient to avoid having a major impact on the battery life of the mobile device. Furthermore, when trajectory information needs to be sent to a remote server, on-device simplification of the trajectories is needed to reduce the amount of data transmission. While there has recently been a lot of work on energy-efficient position tracking, the energy-efficient tracking of trajectories has not been addressed in previous work. In this paper we propose a novel on-device sensor management strategy and a set of trajectory updating protocols which intelligently determine when to sample different sensors (accelerometer, compass and GPS) and when data should be simplified and sent to a remote server. The system is configurable with regards to accuracy requirements and provides a unified framework for both position and trajectory tracking. We demonstrate the effectiveness of our approach by emulation experiments on real world data sets collected from different modes of transportation (walking, running, biking and commuting by car) as well as by validating with a real-world deployment. The results demonstrate that our approach is able to provide considerable savings in the battery consumption compared to a state-of-the-art position tracking system while at the same time maintaining the accuracy of the resulting trajectory, i.e., support of specific accuracy requirements and different types of applications can be ensured.