TY  - GEN
CY  - Thessaloniki
KW  - Internet of Things;  air pollution measurement;  compressed sensing;  correlation methods;  data aggregation;  environmental monitoring (geophysics);  environmental science computing;  smart cities;  Internet-of-Things data aggregation;  IoT devices;  air-pollution data;  citizen quality of life improvement;  citizen wellbeing improvement;  compressed sensing;  data reconstruction quality improvements;  data transmission;  inter-source correlations;  intra-source correlations;  large-scale air pollution monitoring;  side information;  smart cities;  Compressed sensing;  Correlation;  Noise measurement;  Pollution measurement;  Sensors;  Wireless sensor networks
A1  - De Castro Mota, JF
A1  - Zimos, E
A1  - Rodrigues, M
A1  - Deligiannis, N
ID  - discovery1529226
N2  - The Internet-of-Things (IoT) is the key enabling technology for transforming current urban environments into so-called Smart Cities. One of the goals behind making cities smarter is to provide a healthy environment that improves the citizens' quality of life and wellbeing. In this work, we introduce a novel data aggregation mechanism tailored to the application of large-scale air pollution monitoring with IoT devices. Our design exploits the intra- and inter-source correlations among air-pollution data using the framework of compressed sensing with side information. The proposed method delivers significant improvements in the data reconstruction quality with respect to the state of the art, even in the presence of noise when measuring and transmitting the data.
PB  - IEEE
UR  - http://dx.doi.org/10.1109/ICT.2016.7500418
N1  - Copyright © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
TI  - Internet-of-things data aggregation using compressed sensing with side information
Y1  - 2016/06/30/
AV  - public
ER  -