Probabilistic Coverage Methods in People-Centric Sensing

Probabilistic Coverage Methods in People-Centric Sensing

People-Centric Mobile Sensing Networks

People-Centric Mobile Sensing Networks Shane Brophy Eisenman This thesis contributes a new system in support of large scale people-centric sensing applications. Over the last decade, wireless sensor networking has developed into arguably the most active area in networking research. The state of the art largely follows an application-specific philosophy, where modest numbers of static wirelessly...

Privacy support in people-centric sensing

In this paper we present an approach to support privacy in people-centric sensing. In particular, we propose a technique that allows a central authority to select a subset of users whose past positions provide a good coverage of a given area of interest, without explicitly georeferencing them. To achieve this goal, we propose an efficient algorithm to solve the well known, NP -complete Set Cove...

MetroSense Project: People-Centric Sensing at Scale

Looking forward 10-20 years we envision Internet scale sensing where the majority of the traffic on the network is sensor data and the majority of applications used every day by the general populace integrates sensing and actuation in some form. Sensing will be people-centric. On the other hand, nearly all published sensor network research over the last five years has focused on isolated, small...

People-centric sensing in assistive healthcare: Privacy challenges and directions

As the domains of pervasive computing and sensor networking are expanding, there is an ongoing trend towards assistive living and healthcare support environments that can effectively assimilate these technologies according to human needs. Most of the existing research in assistive healthcare follows a more passive approach and has focused on collecting and processing data using a static-topolog...