With an increasing number of rich embedded sensors, like accelerometer and GPS,
smartphone becomes a pervasive people-centric sensing platform for inferring user's daily …

There are a variety of approaches to seismic sensing, which range from collecting sparse
measurements with high-fidelity seismic stations to non-quantitative, post-earthquake …

Many crowdsourcing applications require spatial data modelling to make sense of location-
based observations provided by multiple users. In this context, we propose a new spatial …

With the increasing ubiquitous usage of the smart phone, participatory sensing networks
become applicable for urban sensing applications. Notably, in pollution monitoring …

Crowd-sensing is becoming a popular computing and sensing paradigm for enclosing
humans in the sensing loop. The underlying idea is that people, together with their mobile …

Can one trade sensor quality for quantity? While larger networks with greater sensor density
promise to allow us to use noisier sensors yet measure subtler phenomena, aggregating …

There is increasing recognition of the links between air pollution and human health.
Epidemiological studies have shown that there are numerous air pollutants that are …

Les pannes sont la règle et non l'exception dans les réseaux de capteurs sans fil. Un nœud
capteur est fragile et il peut échouer en raison de l'épuisement de la batterie ou de la …

In the participatory sensing network, the sensor noise dominates the quality of sensing data
as well as the processing efficiency. Previous works focus on evaluating sensing accuracy …

This thesis presents theories, analyses, and algorithms for detecting and estimating
parameters of geospatial events with today's large, noisy sensor networks. A geospatial …