Zimos, E., Mota, J., Rodrigues, M., & Deligiannis, N. (2016). Internet-of-Things Data Aggregation Using Compressed Sensing with Side Information. In International Conference on Telecommunications: ICT 2016 (pp. 1-5). IEEE.

@inproceedings{d712c423fe73428a988cfa7c9d056749,
title = "Internet-of-Things Data Aggregation Using Compressed Sensing with Side Information",
abstract = "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{\textquoteright} 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 signi cant 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.",
keywords = "Internet of Things, Compressed sensing, side information, Smart city, Air pollution, wireless sensor networks",
author = "Evangelos Zimos and Joao Mota and Miguel Rodrigues and Nikolaos Deligiannis",
year = "2016",
month = may,
language = "English",
pages = "1--5",
booktitle = "International Conference on Telecommunications",
publisher = "IEEE",
note = "International Conference on Telecommunications '16, ICT ; Conference date: 16-05-2016 Through 18-05-2016",
}