Energy efficient solutions in wireless sensor systems for water quality monitoring: A review
This paper presents energy-efficient solutions for wireless sensor systems intended for the
monitoring of water quality at water stations. Energy problems, such as energy scarcity and …
monitoring of water quality at water stations. Energy problems, such as energy scarcity and …
[HTML][HTML] Multimedia communication over cognitive radio networks from QoS/QoE perspective: A comprehensive survey
The stringent requirements of wireless multimedia transmission lead to very high radio
spectrum solicitation. Although the radio spectrum is considered as a scarce resource, the …
spectrum solicitation. Although the radio spectrum is considered as a scarce resource, the …
Wireless technologies for energy harvesting and transmission for ambient self-powered systems
The era of the Internet of Things (IoT) requires sustainable and convenient methods to
power widely distributed sensing devices. Self-powered systems have emerged as a …
power widely distributed sensing devices. Self-powered systems have emerged as a …
Energy efficient resource allocation in wireless energy harvesting sensor networks
Extending the sensor life time is one of the most important issues in widespread use of
Wireless Sensor Networks (WSNs). The Energy Harvesting (EH) sensors have been …
Wireless Sensor Networks (WSNs). The Energy Harvesting (EH) sensors have been …
Optimal resource allocation for RF-powered underlay cognitive radio networks with ambient backscatter communication
In this paper, we study radio frequency (RF)-powered underlay cognitive radio networks
(CRNs) with power-domain non-orthogonal multiple access (NOMA). In these networks, by …
(CRNs) with power-domain non-orthogonal multiple access (NOMA). In these networks, by …
Few-shot unsupervised specific emitter identification based on density peak clustering algorithm and meta-learning
C **e, L Zhang, Z Zhong - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Deep-learning methods are becoming increasingly popular for improving the efficiency of
specific emitter identification (SEI). However, in noncooperative scenarios, it is difficult to …
specific emitter identification (SEI). However, in noncooperative scenarios, it is difficult to …
Spectrum management analysis for cognitive radio IoT
Recently, several Internet of Things Tools have been created, contributing to growing
network loads. To refrain from IoT should use the idea of cognitive radio networks because …
network loads. To refrain from IoT should use the idea of cognitive radio networks because …
NOMA-based energy efficient resource allocation in wireless energy harvesting sensor networks
Abstract Non Orthogonal Multiple Access (NOMA) and energy harvesting are two widely
used concepts to improve the performance of Wireless Sensor Networks. In this paper, we …
used concepts to improve the performance of Wireless Sensor Networks. In this paper, we …
Distributed resource allocation in RF-powered cognitive ambient backscatter networks
Ambient backscatter communications has shown the great potentials to achieve spectrum
and energy efficient communications for future wireless networks (eg, 6G). Besides, to fully …
and energy efficient communications for future wireless networks (eg, 6G). Besides, to fully …
Cognitive radio sensor network with green power beacon
In this paper, we propose a cognitive radio sensor network with green power beacon (PB) to
solve spectrum and energy scarcity problems in the resource-limited wireless sensor …
solve spectrum and energy scarcity problems in the resource-limited wireless sensor …