SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
A Weight-based Map Matching Method in Moving Objects Databases
SSDBM '04 Proceedings of the 16th International Conference on Scientific and Statistical Database Management
On map-matching vehicle tracking data
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Addressing the Need for Map-Matching Speed: Localizing Globalb Curve-Matching Algorithms
SSDBM '06 Proceedings of the 18th International Conference on Scientific and Statistical Database Management
Energy-Efficient Monitoring of Mobile Objects with Uncertainty-Aware Tolerances
IDEAS '07 Proceedings of the 11th International Database Engineering and Applications Symposium
A framework of energy efficient mobile sensing for automatic user state recognition
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
Less is more: energy-efficient mobile sensing with senseless
Proceedings of the 1st ACM workshop on Networking, systems, and applications for mobile handhelds
VTrack: accurate, energy-aware road traffic delay estimation using mobile phones
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Hidden Markov map matching through noise and sparseness
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
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
Accurate caloric expenditure of bicyclists using cellphones
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Elderly People Daily Life Monitoring Based on GPS Trajectory with Non-uniform Sampling
Proceedings of the Second International Conference on Innovative Computing and Cloud Computing
GTube: geo-predictive video streaming over HTTP in mobile environments
Proceedings of the 5th ACM Multimedia Systems Conference
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Todays versatile mobile devices such as smartphones are increasingly popular platforms for trajectory-based applications such as vehicle tracking, route navigation and geotagged video acquisition. On these battery-powered devices employing a trajectory data acquisition approach that reduces the amount of energy spent but still provides accurate location information is essential for these applications' usability. This paper presents EnAcq, a novel energy-efficient GPS trajectory data acquisition scheme based on improved map matching that addresses two key challenges: providing highly accurate trajectory data and reducing energy consumption. To improve the precision of trajectory data, EnAcq utilizes an improved Hidden Markov Model (HMM)-based map matching algorithm which can find candidate matches for each GPS location sample point without using the traditionally necessary range query and determine the most likely route the mobile device (e.g., in a vehicle) has travelled. To avoid unnecessary energy consumption, EnAcq adopts an adaptive GPS sampling method which adjusts the sampling period based on the device's current motion state. On a public real-world dataset, we demonstrate via experimental results that EnAcq is able to yield accurate trajectory data while avoiding unnecessary energy consumption.