Zimos, E;
Mota, JFC;
Tsiligianni, E;
Rodrigues, MRD;
Deligiannis, N;
(2018)
Data aggregation and recovery for the Internet of Things: A compressive demixing approach.
In:
Proceedings of the Wireless Communications and Networking Conference (WCNC) 2018.
IEEE: Danvers (MA), USA.
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Abstract
Large-scale wireless sensor networks (WSNs) and Internet-of-Things (IoT) applications involve diverse sensing devices collecting and transmitting massive amounts of heterogeneous data. In this paper, we propose a novel compressive data aggregation and recovery mechanism that reduces the global communication cost without introducing computational overhead at the network nodes. Following the principles of compressive demixing, each node of the network collects measurement readings from multiple sources and mixes them with readings from other nodes into a single low-dimensional measurement vector, which is then relayed to other nodes; the constituent signals are recovered at the sink using convex optimization. Our design achieves significant reduction in the overall network data rates compared to prior schemes based on (distributed) compressed sensing or compressed sensing with (multiple) side information. Experiments using real large-scale air-quality data demonstrate the superior performance of the proposed framework against state-of-the-art solutions, with and without the presence of measurement and transmission noise.
| Type: | Proceedings paper |
|---|---|
| Title: | Data aggregation and recovery for the Internet of Things: A compressive demixing approach |
| Event: | Wireless Communications and Networking Conference (WCNC) |
| Location: | Barcelona, Spain |
| Dates: | 15th-18th April 2018 |
| ISBN-13: | 978-1-5386-1734-2 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/WCNC.2018.8377196 |
| Publisher version: | http://doi.org/10.1109/WCNC.2018.8377196 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Sensors, Atmospheric measurements, Wireless sensor networks, Pollution measurement, Compressed sensing, Noise measurement, Particle measurements |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10063242 |
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