A systematic review of compressive sensing: Concepts, implementations and applications
M Rani, SB Dhok, RB Deshmukh - IEEE access, 2018 - ieeexplore.ieee.org
Compressive Sensing (CS) is a new sensing modality, which compresses the signal being
acquired at the time of sensing. Signals can have sparse or compressible representation …
acquired at the time of sensing. Signals can have sparse or compressible representation …
A comprehensive survey on networking over TV white spaces
M Rahman, A Saifullah - Pervasive and Mobile Computing, 2019 - Elsevier
TV white spaces refer to the allocated but locally unused TV spectrum and can be used by
unlicensed devices as secondary users. Thanks to their lower frequencies (eg, 54–698 MHz …
unlicensed devices as secondary users. Thanks to their lower frequencies (eg, 54–698 MHz …
SNOW: Sensor network over white spaces
Wireless sensor networks (WSNs) face significant scalability challenges due to the
proliferation of wide-area wireless monitoring and control systems that require thousands of …
proliferation of wide-area wireless monitoring and control systems that require thousands of …
Robust online spectrum prediction with incomplete and corrupted historical observations
A range of emerging applications, from adaptive spectrum sensing to proactive spectrum
mobility, depend on the ability to foresee spectrum state evolution. Despite a number of …
mobility, depend on the ability to foresee spectrum state evolution. Despite a number of …
Low-power wide-area network over white spaces
As a key technology driving the Internet-of-Things, low-power wide-area networks
(LPWANs) are evolving to overcome the range limits and scalability challenges in traditional …
(LPWANs) are evolving to overcome the range limits and scalability challenges in traditional …
Enabling reliable, asynchronous, and bidirectional communication in sensor networks over white spaces
Low-Power Wide-Area Network (LPWAN) heralds a promising class of technology to
overcome the range limits and scalability challenges in traditional wireless sensor networks …
overcome the range limits and scalability challenges in traditional wireless sensor networks …
Fair and size-scalable participant selection framework for large-scale mobile crowdsensing
Mobile Crowdsensing (MCS) is a cost-efficient community sensing paradigm. It employs
massive mobile computing devices such as smartphones to sense and propagate data …
massive mobile computing devices such as smartphones to sense and propagate data …
Compressive sensing and random walk based data collection in wireless sensor networks
P Zhang, J Wang, K Guo - Computer Communications, 2018 - Elsevier
Data collection is one of the most important research topics in wireless sensor networks.
Compressive sensing can break through the classical Shannon–Nyquist boundary and …
Compressive sensing can break through the classical Shannon–Nyquist boundary and …
WATCH: WiFi in active TV channels
X Zhang, EW Knightly - Proceedings of the 16th ACM International …, 2015 - dl.acm.org
Today's" white space" model of spectrum sharing applied in the UHF TV band allows
channels that are not being used regionally by a TV broadcaster to be re-purposed for …
channels that are not being used regionally by a TV broadcaster to be re-purposed for …
Lpwan in the tv white spaces: A practical implementation and deployment experiences
Low-Power Wide-Area Network (LPWAN) is an enabling Internet-of-Things technology that
supports long-range, low-power, and low-cost connectivity to numerous devices. To avoid …
supports long-range, low-power, and low-cost connectivity to numerous devices. To avoid …