Results 211 to 220 of about 131,942 (264)

Mobile distributed compressive sensing for spectrum sensing

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
This paper studies the effect of mobility on the sensing performance of a cognitive radio network with mobile nodes. The secondary nodes sense the spectrum using a distributed compressive sensing approach to detect the available channels. Distributed compressive sensing is suggested to reduce the number of samples by exploiting correlation between the ...
Veria Havary-Nassab, Shahrokh Valaee, Shahram Shahbazpanahi   +2 more
openaire   +1 more source

On the sensitivity of distributed acoustic sensing

Optics Letters, 2016
In distributed acoustic sensing (DAS) an optical fiber is transformed into an array of thousands of "virtual microphones." Most current DAS methodologies are based on coherent interference of Rayleigh backscattered light and thus are prone to signal fading. Hence, the sensitivities of the "microphones" fluctuate randomly along the fiber.
Haniel, Gabai, Avishay, Eyal
openaire   +2 more sources

The specification of distributed sensing and control

Journal of Robotic Systems, 1985
AbstractLogical Sensor System Specification (LSS) has been introduced as a convenient means for specifying multi‐sensor systems and their implementations. In this article we demonstrate how control issues can be handled in the context of LSS. In particular, the Logical Sensor Specification is extended to include a control mechanism which permits ...
Tom Henderson, Chuck Hansen, Bir Bhanu
openaire   +1 more source

Distributed compressive video sensing

2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009
Low-complexity video encoding has been applicable to several emerging applications. Recently, distributed video coding (DVC) has been proposed to reduce encoding complexity to the order of that for still image encoding. In addition, compressive sensing (CS) has been applicable to directly capture compressed image data efficiently.
Li-Wei Kang, Chun-Shien Lu
openaire   +1 more source

Sparse Sensing for Distributed Detection

IEEE Transactions on Signal Processing, 2016
An offline sampling design problem for distributed detection is considered in this paper. To reduce the sensing, storage, transmission, and processing costs, the natural choice for the sampler is the sparsest one that results in a desired global error probability.
Sundeep Prabhakar Chepuri, Geert Leus
openaire   +1 more source

Compressed Sensing for Distributed Systems

2015
This book presents a survey of the state-of-the art in the exciting and timely topic of compressed sensing for distributed systems. It has to be noted that, while compressed sensing has been studied for some time now, its distributed applications are relatively new.
Magli Enrico, Coluccia Giulio, Ravazzi Chiara   +2 more
openaire   +3 more sources

Distributed Generation and Sensing for Intelligent Distributed Microgrids

2006 IEEE/SMC International Conference on System of Systems Engineering, 2006
Areas for near-term and long-term research in joint industry-academia projects for development of intelligent distributed microgrids are presented. Advanced concepts for intelligent adaptive power grids with distributed intelligence is a longer term objective of intelligent distributed microgrids. The near-term objective is the modeling and analysis of
Daniel J. Cox, Tom Davis
openaire   +1 more source

Distributed allocation of the sensing times for cooperative spectrum sensing

2012 International Conference on Computing, Networking and Communications (ICNC), 2012
In cognitive radio systems, the sparse assigned frequency bands are opened to secondary users. We consider the sensing of the frequency spectrum for cognitive radios, based on energy detection. It has been shown that the sensing reliability can be improved by using several cooperating cognitive radios that exchange their individual sensing information ...
Olivier van den Biggelaar, Jean-Michel Dricot, Philippe De Doncker, François Horlin   +3 more
openaire   +2 more sources

Differentially private distributed sensing

2016 IEEE 3rd World Forum on Internet of Things (WF-IoT), 2016
The growth of the Internet of Things (IoT) creates the possibility of decentralized systems of sensing and actuation, potentially on a global scale. IoT devices connected to cloud networks can offer sensing and actuation as a service enabling networks of sensors to grow to a global scale.
openaire   +1 more source