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Pregled bibliografske jedinice broj: 755605

Real Time Analysis of Sensor Data for the Internet of Things by means of Clustering and Event Processing


Hromic, Hugo; Serrano, Martin; Hayes, Conor; Antonic, Aleksandar; Podnar Žarko, Ivana; Le Phuoc, Danh; Decker, Stefan
Real Time Analysis of Sensor Data for the Internet of Things by means of Clustering and Event Processing // Proceedings of 2015 IEEE International Conference on Communications
London, Velika Britanija: IEEE, 2015. str. 2288-2294 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Real Time Analysis of Sensor Data for the Internet of Things by means of Clustering and Event Processing

Autori
Hromic, Hugo ; Serrano, Martin ; Hayes, Conor ; Antonic, Aleksandar ; Podnar Žarko, Ivana ; Le Phuoc, Danh ; Decker, Stefan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 2015 IEEE International Conference on Communications / - : IEEE, 2015, 2288-2294

Skup
2015 IEEE International Conference on Communications (ICC2015)

Mjesto i datum
London, Velika Britanija, 08/12.06.2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Cloud Computing ; Interoperability ; Linked Data ; Intelligent Server ; Sensor Data ; Services ; Applications

Sažetak
Sensor technology and sensor networks have evolved so rapidly that they are now considered a core driver of the Internet of Things (IoT), however data analytics on IoT streams is still in its infancy. This paper introduces an approach to sensor data analytics for the Internet of Things by using the OpenIoT1 middleware ; real time event processing and clustering algorithms have been used for this purpose. The OpenIoT platform has been extended to support stream processing and thus we demonstrate its flexibility in enabling real time on-demand application domain analytics. We use mobile crowd-sensed data, provided in real time from wearable sensors, to analyse and infer air quality conditions. This experimental evaluation has been implemented using the design principles and methods for IoT data interoperability specified by the OpenIoT project. We describe an event and clustering analytics server that acts as an interface for novel analytical IoT services. The approach presented in this paper also demonstrates how sensor data acquired from mobile devices can be integrated within IoT platforms to enable analytics on data streams. It can be regarded as a valuable tool to understand complex phenomena, e.g., air pollution dynamics and its impact on human health.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb


Citiraj ovu publikaciju:

Hromic, Hugo; Serrano, Martin; Hayes, Conor; Antonic, Aleksandar; Podnar Žarko, Ivana; Le Phuoc, Danh; Decker, Stefan
Real Time Analysis of Sensor Data for the Internet of Things by means of Clustering and Event Processing // Proceedings of 2015 IEEE International Conference on Communications
London, Velika Britanija: IEEE, 2015. str. 2288-2294 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Hromic, H., Serrano, M., Hayes, C., Antonic, A., Podnar Žarko, I., Le Phuoc, D. & Decker, S. (2015) Real Time Analysis of Sensor Data for the Internet of Things by means of Clustering and Event Processing. U: Proceedings of 2015 IEEE International Conference on Communications.
@article{article, year = {2015}, pages = {2288-2294}, keywords = {Cloud Computing, Interoperability, Linked Data, Intelligent Server, Sensor Data, Services, Applications}, title = {Real Time Analysis of Sensor Data for the Internet of Things by means of Clustering and Event Processing}, keyword = {Cloud Computing, Interoperability, Linked Data, Intelligent Server, Sensor Data, Services, Applications}, publisher = {IEEE}, publisherplace = {London, Velika Britanija} }
@article{article, year = {2015}, pages = {2288-2294}, keywords = {Cloud Computing, Interoperability, Linked Data, Intelligent Server, Sensor Data, Services, Applications}, title = {Real Time Analysis of Sensor Data for the Internet of Things by means of Clustering and Event Processing}, keyword = {Cloud Computing, Interoperability, Linked Data, Intelligent Server, Sensor Data, Services, Applications}, publisher = {IEEE}, publisherplace = {London, Velika Britanija} }




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