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Pregled bibliografske jedinice broj: 712215

A Mobile Crowdsensing Ecosystem Enabled by a Cloud- based Publish/Subscribe Middleware


Antonić, Aleksandar; Rožanković, Kristijan; Marjanović, Martina; Pripužić, Krešimir; Podnar Žarko, Ivana;
A Mobile Crowdsensing Ecosystem Enabled by a Cloud- based Publish/Subscribe Middleware // Proceedings of The 2nd International Conference on Future Internet of Things and Cloud
Barcelona, Španjolska, 2014. str. 107-114 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
A Mobile Crowdsensing Ecosystem Enabled by a Cloud- based Publish/Subscribe Middleware

Autori
Antonić, Aleksandar ; Rožanković, Kristijan ; Marjanović, Martina ; Pripužić, Krešimir ; Podnar Žarko, Ivana ;

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

Izvornik
Proceedings of The 2nd International Conference on Future Internet of Things and Cloud / - , 2014, 107-114

Skup
The 2nd International Conference on Future Internet of Things and Cloud

Mjesto i datum
Barcelona, Španjolska, 27.-29.08.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
mobile crowd sensing ; publish/subscribe middleware

Sažetak
We are witnessing the rise of a novel class of wearable devices equipped with various sensing capabilities as well as further miniaturization of sensing components that are nowadays being integrated into mobile devices. The inherent mobility of such devices has the capacity to produce dense and rich spatiotemporal information about our environment creating the mobile Internet of Things (IoT). The management of mobile resources to enable sensor discovery and seamless integration of mobile geotagged sensor data with cloud-based IoT platforms creates new challenges due to device dynamicity, energy constraints, and varying sensor data quality. The paper presents an ecosystem for mobile crowdsensing applications which relies on the CloUd-based PUblish/Subscribe middleware (CUPUS) to acquire sensor data from mobile devices in a context- aware and energy- efficient manner. The ecosystem offers the means for location management of mobile Internet- connected objects and adaptive data acquisition from such devices. In addition, our solution enables filtering of sensor data on mobile devices in the proximity of a data producer prior to its transmission into the cloud. Thus it reduces both the network traffic and energy consumption on mobile devices. We evaluate the performance of our mobile CUPUS application to investigate its performance on mobile phones in terms of scalability and CPU, memory and energy consumption under high publishing load.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekti:
FP7 OPENIOT

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Citiraj ovu publikaciju

Antonić, Aleksandar; Rožanković, Kristijan; Marjanović, Martina; Pripužić, Krešimir; Podnar Žarko, Ivana;
A Mobile Crowdsensing Ecosystem Enabled by a Cloud- based Publish/Subscribe Middleware // Proceedings of The 2nd International Conference on Future Internet of Things and Cloud
Barcelona, Španjolska, 2014. str. 107-114 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Antonić, A., Rožanković, K., Marjanović, M., Pripužić, K., Podnar Žarko, I. & (2014) A Mobile Crowdsensing Ecosystem Enabled by a Cloud- based Publish/Subscribe Middleware. U: Proceedings of The 2nd International Conference on Future Internet of Things and Cloud.
@article{article, year = {2014}, pages = {107-114}, keywords = {mobile crowd sensing, publish/subscribe middleware}, title = {A Mobile Crowdsensing Ecosystem Enabled by a Cloud- based Publish/Subscribe Middleware}, keyword = {mobile crowd sensing, publish/subscribe middleware}, publisherplace = {Barcelona, \v{S}panjolska} }
@article{article, year = {2014}, pages = {107-114}, keywords = {mobile crowd sensing, publish/subscribe middleware}, title = {A Mobile Crowdsensing Ecosystem Enabled by a Cloud- based Publish/Subscribe Middleware}, keyword = {mobile crowd sensing, publish/subscribe middleware}, publisherplace = {Barcelona, \v{S}panjolska} }




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