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On the optimal density for real-time data gathering of spatio-temporal processes in sensor networks

Related publications (37)

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Frugal Decentralized Learning

Anne-Marie Kermarrec

Machine learning is currently shifting from a centralized paradigm to decentralized ones where machine learning models are trained collaboratively. In fully decentralized learning algorithms, data remains where it was produced, models are trained locally a ...

IEEE2022

A medical system comprising a first wearable device configured to be worn by a first hand of a user, a second wearable device configured to be worn by a second hand of the user, a first sensor device arranged on the first wearable device, the first sensor ...

2021

Localizing the Source of an Epidemic Using Few Observations

Brunella Marta Spinelli

Localizing the source of an epidemic is a crucial task in many contexts, including the detection of malicious users in social networks and the identification of patient zeros of disease outbreaks. The difficulty of this task lies in the strict limitation ...

EPFL2018

Live Demonstration: An IoT Cloud-Based Architecture for Anesthesia Monitoring

Sandro Carrara, Francesca Stradolini, Danilo Demarchi, Abuduwaili Tuoheti, Nadia Tamburrano, Thiébaud Modoux

Medical Internet of Things (IoT) solutions are already paving the way towards the realization of Smart Hospitals. Following this trend, we propose an IoT cloud-based network for anesthesia on-line monitoring. This architecture allows the anesthesiologist t ...

IEEE2018

Privacy - Preserving Data Exchange and Aggregation in Healthcare

Alevtina Dubovitskaya

Medical data are often scattered among multiple clinics, hospitals, insurance companies, pharmacies, and research institutions that store and process personal healthcare information. The use of information and communication technologies for health (eHealth ...

EPFL2018

Alpine: Efficient In-Situ Data Exploration in the Presence of Updates

Anastasia Ailamaki, Matthaios Alexandros Olma, Antonios Anagnostou

The ever growing data collections create the need for brief explorations of the available data to extract relevant information before decision making becomes necessary. In this context of data exploration, current data analysis solutions struggle to quickl ...

ACM New York, NY, USA2017

Data Management in Participatory Sensing

Mehdi Riahi

In recent years there has been a proliferation of privately owned sensing devices such as GPS devices, cameras, home weather stations and, more importantly, smart-phones. Most of these devices are either intrinsically mobile, e.g., smart-phones and GPS dev ...

EPFL2015

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As data collections become larger and larger, users are faced with increasing bottlenecks in their data analysis. More data means more time to prepare and to load the data into the database before executing the desired queries. Many applications already av ...

Assoc Computing Machinery2015

Performance Bounds for Sensor Data Gathering by Coding in Finite Fields

Pascal Frossard, Tamara Tosic

We address the problem of data gathering in adhoc networks. We propose a novel framework where sensor signals are quantized and mapped to a finite field. The network nodes then combine the data from different sensors to form messages that are transmitted t ...

2013

NoDB in Action: Adaptive Query Processing on Raw Data

Anastasia Ailamaki, Miguel Sérgio De Oliveira Branco, Ioannis Alagiannis

As data collections become larger and larger, users are faced with increasing bottlenecks in their data analysis. More data means more time to prepare the data, to load the data into the database and to execute the desired queries. Many applications alread ...

VLDB Endowment2012