In recent years, the percentage of the population owning a smartphone has increased significantly. These devices provide users with more and more functions that make them real sensing platforms. Exploiting the capabilities offered by smartphones, users can collect data from the surrounding environment and share them with other entities in the network thanks to existing communication infrastructures, i.e., 3G/4G/5G or WiFi. In this work, we present a system based on participatory sensing paradigm using smartphones to collect and share local data in order to monitor make a campus 'smart'. In particular, our system infers the activities performed by users (e.g., students) in a campus in order to identify trends and behavioral patterns. This information allows the system to decide in real-Time which actions are needed to provide the best possible services to users, according to their needs and preferences.
Concone F., Ferraro P., & Lo Re G. (2018). Towards a smart campus through participatory sensing. In Proceedings - 2018 IEEE International Conference on Smart Computing, SMARTCOMP 2018 (pp. 393-398). Los Alamitos, California : The Institute of Electrical and Electronics Engineers Inc. [10.1109/SMARTCOMP.2018.00035].
Data di pubblicazione: | 2018 | |
Titolo: | Towards a smart campus through participatory sensing | |
Autori: | ||
Citazione: | Concone F., Ferraro P., & Lo Re G. (2018). Towards a smart campus through participatory sensing. In Proceedings - 2018 IEEE International Conference on Smart Computing, SMARTCOMP 2018 (pp. 393-398). Los Alamitos, California : The Institute of Electrical and Electronics Engineers Inc. [10.1109/SMARTCOMP.2018.00035]. | |
Abstract: | In recent years, the percentage of the population owning a smartphone has increased significantly. These devices provide users with more and more functions that make them real sensing platforms. Exploiting the capabilities offered by smartphones, users can collect data from the surrounding environment and share them with other entities in the network thanks to existing communication infrastructures, i.e., 3G/4G/5G or WiFi. In this work, we present a system based on participatory sensing paradigm using smartphones to collect and share local data in order to monitor make a campus 'smart'. In particular, our system infers the activities performed by users (e.g., students) in a campus in order to identify trends and behavioral patterns. This information allows the system to decide in real-Time which actions are needed to provide the best possible services to users, according to their needs and preferences. | |
URL dell'editore: | https://www.computer.org/csdl/proceedings/smartcomp/2018/12OmNyp9Mq1 | |
ISBN: | 978-1-5386-4705-9 | |
Digital Object Identifier (DOI): | 10.1109/SMARTCOMP.2018.00035 | |
Settore Scientifico Disciplinare: | Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni | |
Appare nelle tipologie: | 2.07 Contributo in atti di convegno pubblicato in volume |
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