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Scalable and Cost-Effective Assignment of Mobile Crowdsensing Tasks Based on Profiling Trends and Prediction: The ParticipAct Living Lab Experience

Nowadays, sensor-rich smartphones potentially enable the harvesting of huge amounts of valuable sensing data in urban environments, by opportunistically involving citizens to play the role of mobile virtual sensors to cover Smart City areas of interest. This paper proposes an in-depth study of the c...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Sensors (Basel)
Egile Nagusiak: Bellavista, Paolo, Corradi, Antonio, Foschini, Luca, Ianniello, Raffaele
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: MDPI 2015
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC4570339/
https://ncbi.nlm.nih.gov/pubmed/26263985
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s150818613
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