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dc.contributor.authorReich, O
dc.contributor.authorHubner, E
dc.contributor.authorGhita, B
dc.contributor.authorWagner, M
dc.contributor.authorSchafer, J
dc.date.accessioned2021-05-18T11:53:09Z
dc.date.available2021-05-18T11:53:09Z
dc.date.issued2020-06
dc.identifier.isbn9781728148922
dc.identifier.urihttp://hdl.handle.net/10026.1/17134
dc.description.abstract

This work focuses on the analysis of Bluetooth Sensor Networks and the maximum number of Bluetooth sensors nodes for real-time human activity recognition (HAR). M:1 multi-pairing is used as network topology. The tests use notify for the Bluetooth data transmission. We investigated the quality of service (QoS) for the maximum number of Bluetooth connections with real-time sensor data based on inertial measurement units (IMU). We show how many Bluetooth sensor nodes can be simultaneously connected using different commercial off-the-shelf hardware and OS. On top of that we point out how the package loss behaves depending on the set time interval and used hardware. Our results show that a maximum number of 13 Bluetooth sensor nodes can be connected using an external Bluetooth dongle with the Linux OS. Connecting more than 10 Bluetooth sensor nodes at a frequency of 0.025 s tested in the Thinkpad P53 in combination with the DeLock Bluetooth dongle being most useful. This combination allowed a maximum number of simultaneous connections by having only a package loss of about 1.2%.

dc.format.extent516-520
dc.language.isoen
dc.publisherIEEE
dc.subjectBluetooth
dc.subjectsensor networks
dc.subjectwireless body area network (WBAN)
dc.subjectquality of service (QoS)
dc.subjectNINA
dc.subjecthuman activity recognition (HAR)
dc.titleBluetooth Performance Evaluation based on Notify for Real-time Body-Area Sensor Networks
dc.typeconference
dc.typeProceedings Paper
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000573618400100&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.date-start2020-06-03
plymouth.date-finish2020-06-05
plymouth.volume00
plymouth.publisher-urlhttps://ieeexplore.ieee.org/xpl/conhome/9130790/proceeding
plymouth.conference-name2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT)
plymouth.publication-statusPublished
plymouth.journal2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT
dc.identifier.doi10.1109/metroind4.0iot48571.2020.9138199
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1109/metroind4.0iot48571.2020.9138199
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeConference Paper/Proceeding/Abstract


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