Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/62654
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dc.contributor.authorWanchai Sangkusolwongen_US
dc.contributor.authorAnya Apavatiruten_US
dc.date.accessioned2018-11-29T07:38:12Z-
dc.date.available2018-11-29T07:38:12Z-
dc.date.issued2018-08-21en_US
dc.identifier.other2-s2.0-85053443115en_US
dc.identifier.other10.1109/ICSEC.2017.8443928en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85053443115&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/62654-
dc.description.abstract© 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.en_US
dc.subjectComputer Scienceen_US
dc.titleIndoor WIFI Signal Prediction Using Modelized Heatmap Generator Toolen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleICSEC 2017 - 21st International Computer Science and Engineering Conference 2017, Proceedingen_US
article.stream.affiliationsChiang Mai Universityen_US
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