Enabling Energy-Efficient and Quality Localization Services
Journal
Proceedings - Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2006
Journal Volume
2006
Pages
624-627
Date Issued
2006
Author(s)
Abstract
Recent localization research has focused on improving the accuracy of pinpointing the physical location of a target. We think that the energy efficiency and the quality of the localization services (QoLS) are equally important properties of localization systems. We refer to the QoLS as the timely supply of the location information to the applications. Energy efficiency and quality are seemingly two contradictive goals in terms of determining the rate of triggering the localization systems to perform the necessary computation and communication. In that, a lower location sampling rate contributes to a lower level of energy consumption but in the meantime compromises the timeliness of acquiring the location information. Opting for energy efficient and quality localization services, we propose a mobility-aware mechanism that adapts the sampling rate to the target mobility. Results from our simulations confirm that the adaptive sampling approach is promising and effective. © 2006 IEEE.
SDGs
Other Subjects
Computer simulation; Energy efficiency; Energy utilization; Mobile computing; Quality of service; Localization services; Location information; Mobility-aware mechanism; Automatic target recognition
Publisher
臺北市:國立臺灣大學資訊工程學系
Type
conference paper
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