Automatic Radio Map Adaptation for Indoor Localization Using Smartphones - 2018


The proliferation of mobile computing has prompted WiFi-primarily based indoor localization to be one of the most enticing and promising techniques for ubiquitous applications. A primary concern for these technologies to be absolutely practical is to combat harsh indoor environmental dynamics, especially for long-term deployment. Despite varied research on WiFi fingerprint-based mostly localization, the matter of radio map adaptation has not been sufficiently studied and remains open. In this work, we propose AcMu, an automatic and continuous radio map self-updating service for wireless indoor localization that exploits the static behaviors of mobile devices. By accurately pinpointing mobile devices with a completely unique trajectory matching algorithm, we tend to employ them as mobile reference points to collect real-time RSS samples after they are static. With these contemporary reference information, we adapt the whole radio map by learning an underlying relationship of RSS dependency between completely different locations, that is anticipated to be comparatively constant over time. Extensive experiments for 20 days across six months demonstrate that AcMu effectively accommodates RSS variations over time and derives correct prediction of fresh radio map with average errors of less than 5dB, outperforming existing approaches. Moreover, AcMu provides 2x improvement on localization accuracy by maintaining an up-to-date radio map.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Smart Trailer : Automatic generation of movie trailer using only subtitles - 2018ABSTRACT:With the large growth rate in user-generated videos, it is changing into increasingly important to be able to navigate them
PROJECT TITLE :New Automatic Modulation Classifier Using Cyclic-Spectrum Graphs With Optimal Training Features - 2018ABSTRACT:A new feature-extraction paradigm for graph-based automatic modulation classification is proposed in
PROJECT TITLE :Automatic Modulation Classification Using Moments and Likelihood Maximization - 2018ABSTRACT:Motivated by the fact that moments of the received signal are easy to compute and can give a simple means to automatically
PROJECT TITLE :Automatic Feature Selection Technique for Next Generation Self-Organizing Networks - 2018ABSTRACT:Despite self-organizing networks (SONs) pursue the automation of management tasks in current cellular networks, the
PROJECT TITLE :Automatic Registration of Images With Inconsistent Content Through Line-Support Region Segmentation and Geometrical Outlier Remova - 2018ABSTRACT:The implementation of automatic image registration is still troublesome

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry