Spectrum inference in cognitive radio networks: Algorithms and applications
Spectrum inference, also known as spectrum prediction in the literature, is a promising
technique of inferring the occupied/free state of radio spectrum from already …
technique of inferring the occupied/free state of radio spectrum from already …
Blind spectrum sensing approaches for interweaved cognitive radio system: A tutorial and short course
Spectrum sensing is one of the essential tasks to have a cognitive radio system, which will
allow an unlicensed user, called secondary user, to utilize the spectrum while the licensed …
allow an unlicensed user, called secondary user, to utilize the spectrum while the licensed …
Early fire detection using convolutional neural networks during surveillance for effective disaster management
Fire disasters are man-made disasters, which cause ecological, social, and economic
damage. To minimize these losses, early detection of fire and an autonomous response are …
damage. To minimize these losses, early detection of fire and an autonomous response are …
Using cognitive radio for interference-resistant industrial wireless sensor networks: An overview
TM Chiwewe, CF Mbuya… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Industrial wireless sensor networks (IWSNs) have to contend with environments that are
usually harsh and time-varying. Industrial wireless technology, such as WirelessHART and …
usually harsh and time-varying. Industrial wireless technology, such as WirelessHART and …
Unveiling the hidden assumptions of energy detector based spectrum sensing for cognitive radios
Cognitive radio is a promising solution to current problem of spectrum scarcity. It relies on
efficient spectrum sensing. Energy detection is the most dominantly used spectrum sensing …
efficient spectrum sensing. Energy detection is the most dominantly used spectrum sensing …
A multi-channel distributed routing scheme for smart grid real-time critical event monitoring applications in the perspective of Industry 4.0
Recently, the 4th industrial revolution known as Industry 4.0 has paved way for a
systematical deployment of the modernised power grid to fulfil the continuously growing …
systematical deployment of the modernised power grid to fulfil the continuously growing …
Saliency-directed prioritization of visual data in wireless surveillance networks
In wireless visual sensor networks (WVSNs), streaming all imaging data is impractical due to
resource constraints. Moreover, the sheer volume of surveillance videos inhibits the ability of …
resource constraints. Moreover, the sheer volume of surveillance videos inhibits the ability of …
Performance evaluation of spectrum sensing techniques for cognitive radio systems
With the increase in utilization of portable devices and ever-growing demand for greater
data rates in wireless transmission, an increasing demand for spectrum channels was …
data rates in wireless transmission, an increasing demand for spectrum channels was …
On spectrum sensing, a machine learning method for cognitive radio systems
Spectrum sensing plays an important role in enabling cognitive radio technology for the up-
and-coming generation of wireless communication systems. Over the last decade, several …
and-coming generation of wireless communication systems. Over the last decade, several …
DeepMorse: A deep convolutional learning method for blind morse signal detection in wideband wireless spectrum
Y Yuan, Z Sun, Z Wei, K Jia - IEEE Access, 2019 - ieeexplore.ieee.org
With the recent advances in wireless technologies, high frequency radio has become the
primary medium for long-distance communication. Among various types of modulation in …
primary medium for long-distance communication. Among various types of modulation in …