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Fault tolerant and scalable IoT-based architecture for health monitoring
Vise andre og tillknytning
2015 (engelsk)Inngår i: SAS 2015 - 2015 IEEE Sensors Applications Symposium, Proceedings, IEEE conference proceedings, 2015, s. 334-339Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

A novel Internet of Things based architecture supporting scalability and fault tolerance for healthcare is presented in this paper. The wireless system is constructed on top of 6LoWPAN energy efficient communication infrastructure to maximize the operation time. Fault tolerance is achieved via backup routing between nodes and advanced service mechanisms to maintain connectivity in case of failing connections between system nodes. The presented fault tolerance approach covers many fault situations such as malfunction of sink node hardware and traffic bottleneck at a node due to a high receiving data rate. A method for extending the number of medical sensing nodes at a single gateway is presented. A complete system architecture providing a quantity of features from bio-signal acquisition such as Electrocardiogram (ECG), Electroencephalography (EEG), and Electromyography (EMG) to the representation of graphical waveforms of these gathered bio-signals for remote real-time monitoring is proposed.

sted, utgiver, år, opplag, sider
IEEE conference proceedings, 2015. s. 334-339
Emneord [en]
6LoWPAN, E-health, Fault tolerance, Internet of things, Remote patient monitoring, Scalability, Wireless sensor network (WSN), Electrocardiography, Electromyography, Electrophysiology, Energy efficiency, Gateways (computer networks), Internet, Network architecture, Patient monitoring, Sensor nodes, Signal processing, Wireless sensor networks, E health, Energy efficient communications, Health monitoring, Remote real-time monitoring, Service mechanism, Tolerance approach, Traffic bottleneck
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-176203DOI: 10.1109/SAS.2015.7133626ISI: 000380510800061Scopus ID: 2-s2.0-84939447410ISBN: 9781479961160 (tryckt)OAI: oai:DiVA.org:kth-176203DiVA, id: diva2:873146
Konferanse
10th IEEE Sensors Applications Symposium, SAS 2015, 13 April 2015 - 15 April 2015
Merknad

QC 20151123

Tilgjengelig fra: 2015-11-23 Laget: 2015-11-02 Sist oppdatert: 2017-01-11bibliografisk kontrollert

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