Indoor WIFI Signal Prediction Using Modelized Heatmap Generator Tool
© 2017 IEEE. Wireless design is essential as it provides time and cost saving. Several WIFI planning tools are available on the market but most of them were initially designed to be user-friendly and provided limited configuration options making it hard to model site-specific environment factors. In...
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th-cmuir.6653943832-626542018-11-29T07:38:12Z Indoor WIFI Signal Prediction Using Modelized Heatmap Generator Tool Wanchai Sangkusolwong Anya Apavatirut Computer Science © 2017 IEEE. Wireless design is essential as it provides time and cost saving. Several WIFI planning tools are available on the market but most of them were initially designed to be user-friendly and provided limited configuration options making it hard to model site-specific environment factors. In this paper, we proposed a WIFI heatmap generator tool that allows users to predict wireless signal strength within the building. Our tool allows users to characterize wireless propagation model including pathloss exponent and pathloss attenuation factors which are usually caused by wall partitions, building layouts, etc. Network administrators and wireless users can deploy this tool to visualize heatmaps which represent wireless received signal strength in each location of the floor plan. Limited WIFI coverage area can be easily determined using this tool. This can be helpful during access point deployment and redeployment. A site-specific propagation model was proposed, and the accuracy of this model was discussed at the end of this paper. 2018-11-29T07:38:12Z 2018-11-29T07:38:12Z 2018-08-21 Conference Proceeding 2-s2.0-85053443115 10.1109/ICSEC.2017.8443928 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85053443115&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/62654 |
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Computer Science Wanchai Sangkusolwong Anya Apavatirut Indoor WIFI Signal Prediction Using Modelized Heatmap Generator Tool |
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© 2017 IEEE. Wireless design is essential as it provides time and cost saving. Several WIFI planning tools are available on the market but most of them were initially designed to be user-friendly and provided limited configuration options making it hard to model site-specific environment factors. In this paper, we proposed a WIFI heatmap generator tool that allows users to predict wireless signal strength within the building. Our tool allows users to characterize wireless propagation model including pathloss exponent and pathloss attenuation factors which are usually caused by wall partitions, building layouts, etc. Network administrators and wireless users can deploy this tool to visualize heatmaps which represent wireless received signal strength in each location of the floor plan. Limited WIFI coverage area can be easily determined using this tool. This can be helpful during access point deployment and redeployment. A site-specific propagation model was proposed, and the accuracy of this model was discussed at the end of this paper. |
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Conference Proceeding |
author |
Wanchai Sangkusolwong Anya Apavatirut |
author_facet |
Wanchai Sangkusolwong Anya Apavatirut |
author_sort |
Wanchai Sangkusolwong |
title |
Indoor WIFI Signal Prediction Using Modelized Heatmap Generator Tool |
title_short |
Indoor WIFI Signal Prediction Using Modelized Heatmap Generator Tool |
title_full |
Indoor WIFI Signal Prediction Using Modelized Heatmap Generator Tool |
title_fullStr |
Indoor WIFI Signal Prediction Using Modelized Heatmap Generator Tool |
title_full_unstemmed |
Indoor WIFI Signal Prediction Using Modelized Heatmap Generator Tool |
title_sort |
indoor wifi signal prediction using modelized heatmap generator tool |
publishDate |
2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85053443115&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/62654 |
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