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MOBISYS
2009
ACM
14 years 7 months ago
A framework of energy efficient mobile sensing for automatic user state recognition
Urban sensing, participatory sensing, and user activity recognition can provide rich contextual information for mobile applications such as social networking and location-based se...
Yi Wang, Jialiu Lin, Murali Annavaram, Quinn Jacob...
DMSN
2007
ACM
13 years 10 months ago
SenseSwarm: a perimeter-based data acquisition framework for mobile sensor networks
This paper assumes a set of n mobile sensors that move in the Euclidean plane as a swarm1 . Our objectives are to explore a given geographic region by detecting and aggregating sp...
Demetrios Zeinalipour-Yazti, Panayiotis Andreou, P...
GLOBECOM
2007
IEEE
13 years 10 months ago
Bursty Traffic in Energy-Constrained Opportunistic Spectrum Access
We design opportunistic spectrum access strategies for improving spectrum efficiency. In each slot, a secondary user chooses a subset of channels to sense and decides whether to ac...
Yunxia Chen, Qing Zhao, Ananthram Swami
WMCSA
2012
IEEE
12 years 2 months ago
Code in the air: simplifying sensing and coordination tasks on smartphones
A growing class of smartphone applications are tasking applications that run continuously, process data from sensors to determine the user’s context (such as location) and activ...
Lenin Ravindranath, Arvind Thiagarajan, Hari Balak...
MOBISYS
2010
ACM
13 years 9 months ago
Darwin phones: the evolution of sensing and inference on mobile phones
We present Darwin, an enabling technology for mobile phone sensing that combines collaborative sensing and classification techniques to reason about human behavior and context on ...
Emiliano Miluzzo, Cory Cornelius, Ashwin Ramaswamy...