Wi-Fi Fingerprinting Based Room Level Indoor Localization Framework Using Ensemble Classifiers
Journal Title: Mehran University Research Journal of Engineering and Technology - Year 2019, Vol 38, Issue 1
Abstract
Over the past decennium, Wi-Fi fingerprinting based indoor localization has seized substantial attention. Room level indoor localization can enable numerous applications to increase their diversity by incorporating user location. Real-world commercial scale deployments have not been realized because of difficulty in capturing radio propagation models. In case of fingerprinting based approaches, radio propagation model is implicitly integrated in the gathered fingerprints providing more realistic information as compared to empirical propagation models. We propose ensemble classifiers based indoor localization using Wi-Fi fingerprints for room level prediction. The major advantages of the proposed framework are, ease of training, ease to set up framework providing high room-level accuracy with trifling response time making it viable and appropriate for real time applications. It performs well in comparison with recurrently used ANN (Artificial Neural Network) and kNN (k-Nearest Neighbours) based solutions. Experiments performed showed that on our real-world Wi-Fi fingerprint dataset, our proposed approach achieved 89% accuracy whereas neural network and kNN based best found configurations achieved 85 and 82% accuracy respectively.
Authors and Affiliations
B. A. Akram, A. H. Akbar
Keywords
Related Articles
- EP ID EP445171
- DOI 10.22581/muet1982.1901.13
- Views 82
- Downloads 0
An Effective Channel Allocation Scheme to Reduce Co-Channel and Adjacent Channel Interference for WMN Backhaul
Two folded work presents channel allocation scheme sustaining channel orthogonality and channel spacing to reduce CCI (Co-Channel Interference) and ACI (Adjacent Channel Interference) for inter flow of an intra-flow link...
Selective Leaching of Steel Pollutant Element from Dilband Iron Ore, Pakistan
Dilband Iron ore of Pakistan is lean grade ore which contains sufficient amount of phosphorous bearing mineral called fluorapatite. Since phosphorous is widely acknowledged as steel pollutant and disturbs the blast furna...
A Family of 6-Point n-Ary Interpolating Subdivision Schemes
We derive three-step algorithm based on divided difference to generate a class of 6-point n-ary interpolating sub-division schemes. In this technique second order divided differences have been calculated at specific posi...
Effect of Heating Rate on Microstructural Developments in Cold Heading Quality Steel used for Automotive Applications
CHQ (Cold Heading Quality) steels are assumed to be non-heat treatable so strengthened by cold forming which is a quick and mass production makes it low cost manufacturing process. In this study, microstructure and phase...
Displacement Based Design Optimization of Steel Moment Frames
Optimization of steel moment resisting frames considering the displacement as the fundamental element is the main aim of the present study. DDBD (Direct Displacement Based Design) methodology have been used for the subje...