Energy-Efficient Boundary Detection for RF-Based Localization Systems
IEEE Transactions on Mobile Computing
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
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
An Energy Efficient Middleware Architecture for Processing Spatial Alarms on Mobile Clients
Mobile Networks and Applications
SensLoc: sensing everyday places and paths using less energy
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Energy-Efficient Location Logging for Mobile Device
SAINT '10 Proceedings of the 2010 10th IEEE/IPSJ International Symposium on Applications and the Internet
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Recently, numerous location-based services have been developed for smartphones; among location-based services, proactive location-based services can serve smartphone users based on periodically collected location logs in background. However, these proactive services have not been widely used, mainly because most of them continuously consume too much battery power. Thus, for proactive location-based services to be successful, their battery consumption needs to be as minimized as possible. In this paper, we propose Variable-Rate Localization (VRL) mechanism in an effort to maximize battery lifetime for periodic localization without a significant degradation of its quality. Our mechanism extends battery lifetime of periodic localization more than any other previously proposed techniques have achieved before.