LeZi-update: an information-theoretic framework for personal mobility tracking in PCS networks
Wireless Networks - Selected Papers from Mobicom'99
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
Evaluating Next-Cell Predictors with Extensive Wi-Fi Mobility Data
IEEE Transactions on Mobile Computing
BreadCrumbs: forecasting mobile connectivity
Proceedings of the 14th ACM international conference on Mobile computing and networking
Predict and relay: an efficient routing in disruption-tolerant networks
Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing
SurroundSense: mobile phone localization via ambience fingerprinting
Proceedings of the 15th annual international conference on Mobile computing and networking
Discovering semantically meaningful places from pervasive RF-beacons
Proceedings of the 11th international conference on Ubiquitous computing
iLoc: a framework for incremental location-state acquisition and prediction based on mobile sensors
Proceedings of the 18th ACM conference on Information and knowledge management
Proceedings of the 8th 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
Improving energy efficiency of location sensing on smartphones
Proceedings of the 8th international conference on Mobile systems, applications, and services
A survey of mobile phone sensing
IEEE Communications Magazine
SensLoc: sensing everyday places and paths using less energy
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
The Jigsaw continuous sensing engine for mobile phone applications
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Context-Based Network Estimation for Energy-Efficient Ubiquitous Wireless Connectivity
IEEE Transactions on Mobile Computing
LittleRock: Enabling Energy-Efficient Continuous Sensing on Mobile Phones
IEEE Pervasive Computing
LifeMap: A Smartphone-Based Context Provider for Location-Based Services
IEEE Pervasive Computing
Place lab: device positioning using radio beacons in the wild
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Automatically characterizing places with opportunistic crowdsensing using smartphones
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Low cost positioning by matching altitude readings with crowd-sourced route data
Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia
Analysis of user mobility data sources for multi-user context modeling
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information
Autonomous place naming system using opportunistic crowdsensing and knowledge from crowdsourcing
Proceedings of the 12th international conference on Information processing in sensor networks
Understanding the coverage and scalability of place-centric crowdsensing
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Proceedings of the 2013 ACM SIGPLAN international conference on Object oriented programming systems languages & applications
A user-centric mobility sensing system for transportation activity surveys
Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
Information delivery in tetherless healthcare
BodyNets '13 Proceedings of the 8th International Conference on Body Area Networks
A context-rich and extensible framework for spontaneous smartphone networking
Computer Communications
Smartphone-based indoor pedestrian tracking using geo-magnetic observations
Mobile Information Systems
MPaaS: Mobility prediction as a service in telecom cloud
Information Systems Frontiers
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Monitoring a user's mobility during daily life is an essential requirement in providing advanced mobile services. While extensive attempts have been made to monitor user mobility, previous work has rarely addressed issues with battery lifetime in real deployment. In this paper, we introduce SmartDC, a mobility prediction-based adaptive duty cycling scheme to provide contextual information about a user's mobility: time-resolved places and paths. Unlike previous approaches that focused on minimizing energy consumption for tracking raw coordinates, we propose efficient techniques to maximize the accuracy of monitoring meaningful places with a given energy constraint. SmartDC comprises unsupervised mobility learner, mobility predictor, and Markov decision process-based adaptive duty cycling. SmartDC estimates the regularity of individual mobility and predicts residence time at places to determine efficient sensing schedules. Our experiment results show that SmartDC consumes 81% less energy than the periodic sensing schemes, and 87% less energy than a scheme employing context-aware sensing, yet it still correctly monitors 80% of a user's location changes within a 160-second delay.