Dense communication networks have been investigated recently to enable communications
of low power wireless devices such as Internet-of-things (IoT) applications in the fifth cellular …

A Markovian battery model for energy harvesting (EH) secondary users (SUs) is proposed to
derive the probability of packet loss due to sensing inaccuracy and energy outage in the EH …

The dramatic development of Internet of Things (IoT) is not only leading to the spectrum
crunch, but is also resulting in exorbitant energy consumption. It is thus desirable to liberate …

Due to the scarcity of the allocated spectrum and power supply of wireless sensor networks,
Cognitive Radio Networks (CRN) and Energy Harvesting (EH) techniques have extensively …

Energy and spectral efficient solutions are indispensable to the success of Internet of Things
(IoT). The design and development of energy and spectral efficient solutions for IoT are very …

In this paper, we investigate the network utility maximization problem in energy harvesting
cognitive radio sensor networks (CRSNs). Different from traditional sensor networks, sensor …

Cognitive Wireless Sensor Networks (CWSN) are known to be energy constrained because
they are required to perform cognitive functions in addition to sensing, which reduces the …

Drastic development in the wireless communication systems is leading to the issue of
spectrum scarcity and to resolve this issue, cognitive radio (CR) is emerging as one of the …

Wireless energy harvesting can improve the performance of cognitive wireless sensor
networks (WSNs). This paper considers radio frequency (RF) energy harvesting from …

The performance of large-scale cognitive radio (CR) networks with secondary users
sustained by opportunistically harvesting radio-frequency (RF) energy from nearby primary …