Adaptive Temporal Radio Maps for Indoor Location Estimation

In this paper, we present a novel method to adapt the temporal radio maps for indoor location determination by offsetting the variational environmental factors using data mining techniques and reference points. Environmental variation, which cause the signals to change from time to time even at the same locations, presents a challenging task for indoor location estimation in the IEEE 802.11b infrastructure. In such dynamic environments, the radio maps obtained at one time period may not be applicable at other time periods. To solve this problem, we apply regression analysis to learn the temporal predictive relationship of the signal strength values using sparsely located reference points and mobile devices. This temporal prediction model can then be used for online localization based on the newly observed signal strength at the client side and the reference points. We show that this technique can effectively accommodate the variations of signal strength values at different time period...

• Type: Conference
• Year: 2005
• Where: PERCOM
• Authors: Jie Yin, Qiang Yang, Lionel M. Ni
• Keywords: PERCOM 2005, Reference Points, Signal Strength Values, Temporal Radio Maps, Wireless Networks