An energy-efficient strategy for combined RSS-PDR indoor localization
An energy-efficient strategy for combined RSS-PDR indoor localization
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DOI：
10.1109/percomw.2011.5766963
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发表时间：
2011-03
期刊：
影响因子：
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通讯作者：
P. Tarrío;M. Cesana;M. Tagliasacchi;A. Redondi;L. Borsani;J. Casar
中科院分区：
文献类型：
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作者：
P. Tarrío;M. Cesana;M. Tagliasacchi;A. Redondi;L. Borsani;J. Casar
提出了一种基于接收信号强度(RSS)和行人航位推算(PDR)相结合的室内定位系统能耗最小化的优化框架。目标是找到RSS定位频率和在每一轮定位中使用的RSS测量值的数量，以共同最小化总消耗的能量，同时确保定位结果的期望精度。该优化方法利用实用模型来预测组合RSS-PDR定位系统的定位误差和总体能耗。通过仿真对所提出的策略的性能进行了评估，在保证目标精度的情况下，显示了相对于其他方法的节能效果。
We propose an optimization-based framework to minimize the energy consumption in a sensor network when using an indoor localization system based on the combination of received signal strength (RSS) and pedestrian dead reckoning (PDR). The objective is to find the RSS localization frequency and the number of RSS measurements used at each localization round that jointly minimize the total consumed energy, while ensuring at the same time a desired accuracy in the localization result. The optimization approach leverages practical models to predict the localization error and the overall energy consumption for combined RSS-PDR localization systems. The performance of the proposed strategy is assessed through simulation, showing energy savings with respect to other approaches while guaranteeing a target accuracy.