WLAN Location Determination via Clustering and Probability Distributions
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
LANDMARC: Indoor Location Sensing Using Active RFID
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Impact of radio irregularity on wireless sensor networks
Proceedings of the 2nd international conference on Mobile systems, applications, and services
The Horus WLAN location determination system
Proceedings of the 3rd international conference on Mobile systems, applications, and services
Sensor-assisted wi-fi indoor location system for adapting to environmental dynamics
MSWiM '05 Proceedings of the 8th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
IEEE Transactions on Knowledge and Data Engineering
Kernel-Based Positioning in Wireless Local Area Networks
IEEE Transactions on Mobile Computing
Learning Adaptive Temporal Radio Maps for Signal-Strength-Based Location Estimation
IEEE Transactions on Mobile Computing
A novel backtracking particle filter for pattern matching indoor localization
Proceedings of the first ACM international workshop on Mobile entity localization and tracking in GPS-less environments
Bayesian Filtering for Location Estimation
IEEE Pervasive Computing
Large-scale localization from wireless signal strength
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Intelligent Dynamic Radio Tracking in Indoor Wireless Local Area Networks
IEEE Transactions on Mobile Computing
Towards mobile phone localization without war-driving
INFOCOM'10 Proceedings of the 29th conference on Information communications
Discriminant Minimization Search for Large-Scale RF-Based Localization Systems
IEEE Transactions on Mobile Computing
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A growing number of location-based applications are based on indoor positioning, and much of the research effort in this field has focused on the pattern-matching approach. This approach relies on comparing a pre-trained database (or radio map) with the received signal strength (RSS) of a mobile device. However, such methods are highly sensitive to environmental dynamics. A number of solutions based on added anchor points have been proposed to overcome this problem. This paper proposes an approach using existing beacons to measure the RSS from other beacons as a reference, which we call inter-beacon measurement, for the calibration of radio maps on the fly. This approach is feasible because most current beacons (such as Wi-Fi and ZigBee stations) have both transmitting and receiving capabilities. This approach would relieve the need for additional anchor points that deal with environmental dynamics. Simulation and experimental results are presented to verify our claims.