Investigation of Wireless Body Area Network Localization Based on Measurement Data

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dc.contributor.authorPromwong, Sathaporn
dc.contributor.authorKhongsomboon, Khamphong
dc.contributor.authorChaisang, Aditep
dc.date.accessioned2026-08-06T10:35:16Z
dc.date.available2026-08-06T10:35:16Z
dc.date.issued2022-01-01
dc.description.abstractShort-range wireless communication is important for application use in wireless medical monitoring systems and wireless body area network localizations. Therefore, the channel's characteristics and the human body effect must be studied. This paper will investigate the wireless body area network localization and ZigBee technology based on the IEEE 802.15.4. Moreover, model wireless body area network measurement using a vector network analyzer at the frequency range of 2.2 GHz to 2.6 GHz for measurement and recording. In the experiment result, the wireless body area network localization is analyzed and evaluated by considering the received signal strength and distance error shown in the cumulative distribution function based on the CLEAN algorithm. From experimental studies, this project is beneficial for development studies and essential information for future research studies of wireless body area network localization applications.
dc.identifier.citation8th International Conference on Engineering Applied Sciences and Technology Iceast 2022 Proceedings, 26-29, 2022
dc.identifier.doi10.1109/ICEAST55249.2022.9826325
dc.identifier.other2-s2.0-85135915444
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/12744
dc.source8th International Conference on Engineering Applied Sciences and Technology Iceast 2022 Proceedings
dc.subjectCLEAN algorithm
dc.subjectfingerprinting technique
dc.subjectindoor localization
dc.subjectWBAN
dc.subjectZigbee
dc.titleInvestigation of Wireless Body Area Network Localization Based on Measurement Data
dc.typeConference Paper

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