Color Radiomap Interpolation for Efficient Fingerprint WiFi-based Indoor Location Estimation
Journal Title: International Journal of Advanced Research in Artificial Intelligence(IJARAI) - Year 2013, Vol 2, Issue 3
Abstract
Indoor location estimation system based on existing 802.11 signal strength is becoming increasingly prevalent in the area of mobility and ubiquity. The user-based location determination system utilizes the information of the Signal Strength (SS) received from the surrounding Access Points (APs) to determine the user position. In this paper, we focus on the development of a user position estimation using existing WiFi environment for its low cost and ease of deployment and study fingerprint-based deterministic techniques for their simplicity and effectiveness. We present the color radio map interpolation method with ease to development, reduce the calibration effort on creating radio map while still retain the accuracy of user position estimation. The average accuracy error 1.108 meter is achieved on 1.25 meter x 2.5 meter of cell grid size.
Authors and Affiliations
Kohei Arai, Herman Tolle
Keywords
Related Articles
- EP ID EP135735
- DOI -
- Views 102
- Downloads 0
Realistic Rescue Simulation Method with Consideration of Road Network Restrictions
A realistic rescue simulation method with consideration of road network restrictions is proposed. Decision making and emergency communication system play important roles in rescue process when emergency situations...
A Multistage Feature Selection Model for Document Classification Using Information Gain and Rough Set
Huge number of documents are increasing rapidly, therefore, to organize it in digitized form text categorization becomes an challenging issue. A major issue for text categorization is its large number of features....
An Optimization of Granular Networks Based on PSO and Two-Sided Gaussian Contexts
This paper is concerned with an optimization of GN (Granular Networks) based on PSO (Particle Swarm Optimization) and Information granulation). The GN is designed by the linguistic model using context-based fuzzy c-means...
Contradiction Resolution between Self and Outer Evaluation for Supervised Multi-Layered Neural Networks
In this paper, we propose a new type of informationtheoretic method. We suppose that a neuron should be evaluated from different points of view to precisely discern its properties. In this paper, we restrict ourselves to...
Information-Theoretic Active SOM for Improving Generalization Performance
In this paper, we introduce a new type of information-theoretic method called “information-theoretic active SOM”, based on the self-organizing maps (SOM) for training multi-layered neural networks. The SOM is one o...