Research Article
MVPTrack: Energy-Efficient Places and Motion States Tracking
@INPROCEEDINGS{10.1007/978-3-319-11569-6_60, author={Chunhui Zhang and Ke Huang and Guanling Chen and Linzhang Wang}, title={MVPTrack: Energy-Efficient Places and Motion States Tracking}, proceedings={Mobile and Ubiquitous Systems: Computing, Networking, and Services. 10th International Conference, MOBIQUITOUS 2013, Tokyo, Japan, December 2-4, 2013, Revised Selected Papers}, proceedings_a={MOBIQUITOUS}, year={2014}, month={12}, keywords={Place sensing Energy efficiency Place awareness}, doi={10.1007/978-3-319-11569-6_60} }- Chunhui Zhang
Ke Huang
Guanling Chen
Linzhang Wang
Year: 2014
MVPTrack: Energy-Efficient Places and Motion States Tracking
MOBIQUITOUS
Springer
DOI: 10.1007/978-3-319-11569-6_60
Abstract
Contextual information such as a person’s meaningful places (Different from a person’s location (raw coordinates), place is an indoor or outdoor area where a person usually conducts some activity, in other words where it is meaningful to the person, such as home, office rooms, restaurants etc.) could provide intelligence to many smartphone apps. However, acquiring this context attribute is not straightforward and could easily drain the battery. In this paper, we propose M(Move)V(Vehicle)P(Place)Track, a continuous place and motion state tracking framework with a focus on improving the energy efficiency of place entrance detection through two techniques: (1) utilizing the mobility change not only for finding the sleeping opportunities for the high energy sensors, but also for providing hint for place entrance detection, (2) leveraging the place history for fast place entrance detection. We evaluated MVPTrack based on traces collected by five persons over two weeks. The evaluation results showed that MVPTrack used 58 % less energy than previous work and provided a much faster place entrance detection approach.
