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Information fusion for wireless sensor networks: Methods, models, and classifications
EF Nakamura, AAF Loureiro, AC Frery - ACM Computing Surveys …, 2007 - dl.acm.org
Wireless sensor networks produce a large amount of data that needs to be processed,
delivered, and assessed according to the application objectives. The way these data are …
delivered, and assessed according to the application objectives. The way these data are …
[کتاب][B] Protocols and architectures for wireless sensor networks
H Karl, A Willig - 2007 - books.google.com
Learn all you need to know about wireless sensor networks! Protocols and Architectures for
Wireless Sensor Networks provides a thorough description of the nuts and bolts of wireless …
Wireless Sensor Networks provides a thorough description of the nuts and bolts of wireless …
Compressive wireless sensing
Compressive Sampling is an emerging theory that is based on the fact that a relatively small
number of random projections of a signal can contain most of its salient information. In this …
number of random projections of a signal can contain most of its salient information. In this …
[کتاب][B] Foundations and applications of sensor management
AO Hero, D Castañón, D Cochran, K Kastella - 2007 - books.google.com
Foundations and Applications of Sensor Management presents the emerging theory of
sensor management with applications to real-world examples such as landmine detection …
sensor management with applications to real-world examples such as landmine detection …
Multi-armed bandit problems
A Mahajan, D Teneketzis - Foundations and applications of sensor …, 2008 - Springer
Multi-armed bandit (MAB) problems are a class of sequential resource allocation problems
concerned with allocating one or more resources among several alternative (competing) …
concerned with allocating one or more resources among several alternative (competing) …
Linear coherent decentralized estimation
We consider the distributed estimation of an unknown vector signal in a resource
constrained sensor network with a fusion center. Due to power and bandwidth limitations …
constrained sensor network with a fusion center. Due to power and bandwidth limitations …
Estimation diversity and energy efficiency in distributed sensing
Distributed estimation based on measurements from multiple wireless sensors is
investigated. It is assumed that a group of sensors observe the same quantity in …
investigated. It is assumed that a group of sensors observe the same quantity in …
Backcasting: adaptive sampling for sensor networks
Wireless sensor networks provide an attractive approach to spatially monitoring
environments. Wireless technology makes these systems relatively exible, but also places …
environments. Wireless technology makes these systems relatively exible, but also places …
Joint source–channel communication for distributed estimation in sensor networks
Power and bandwidth are scarce resources in dense wireless sensor networks and it is
widely recognized that joint optimization of the operations of sensing, processing and …
widely recognized that joint optimization of the operations of sensing, processing and …
Faster rates in regression via active learning
This paper presents a rigorous statistical analysis characterizing regimes in which active
learning significantly outperforms classical passive learning. Active learning algorithms are …
learning significantly outperforms classical passive learning. Active learning algorithms are …