AI-based fog and edge computing: A systematic review, taxonomy and future directions
Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
Resource management approaches in fog computing: a comprehensive review
In recent years, the Internet of Things (IoT) has been one of the most popular technologies
that facilitate new interactions among things and humans to enhance the quality of life. With …
that facilitate new interactions among things and humans to enhance the quality of life. With …
[HTML][HTML] Machine learning-based malicious user detection for reliable cooperative radio spectrum sensing in Cognitive Radio-Internet of Things
MS Hossain, MS Miah - Machine Learning with Applications, 2021 - Elsevier
Abstract The Cognitive Radio based Internet of Things (CR-IoT) is a promising technology
that provides IoT endpoints, ie, CR-IoT users the capability to share the radio spectrum …
that provides IoT endpoints, ie, CR-IoT users the capability to share the radio spectrum …
Enhancing the spectrum sensing performance of cluster-based cooperative cognitive radio networks via sequential multiple reporting channels
In cluster-based cooperative cognitive radio networks (CCRNs), spectrum sensing and
decision making processes to determine whether the primary user (PU) signal is present or …
decision making processes to determine whether the primary user (PU) signal is present or …
[HTML][HTML] Sensing and throughput analysis of a MU-MIMO based cognitive radio scheme for the Internet of Things
State-of-the-art energy detection (ED) based spectrum sensing requires perfect knowledge
of noise power and is vulnerable to noise uncertainty. An eigenvalue-based spectrum …
of noise power and is vulnerable to noise uncertainty. An eigenvalue-based spectrum …
Machine learning-based malicious users detection in blockchain-enabled cr-iot network for secured spectrum access
MS Miah, MS Hossain… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Cognitive radio has been established as an optimal solution to enhance spectrum usage
proficiency and compensate the growing spectrum scarcity for wireless multimedia …
proficiency and compensate the growing spectrum scarcity for wireless multimedia …
A throughput analysis of an energy-efficient spectrum sensing scheme for the cognitive radio-based Internet of things
Spectrum sensing in a cognitive radio network involves detecting when a primary user
vacates their licensed spectrum, to enable secondary users to broadcast on the same band …
vacates their licensed spectrum, to enable secondary users to broadcast on the same band …
Enhanced sensing and sum-rate analysis in a cognitive radio-based internet of things
Spectrum sensing plays a vital role in cognitive radio networks (CRNs) for identifying the
spectrum hole. However, an individual cognitive radio user in a CRN does not obtain …
spectrum hole. However, an individual cognitive radio user in a CRN does not obtain …
Support vector machine approach of malicious user identification in cognitive radio networks
In cognitive radio network (CRN), effective spectrum management provides better quality of
service. The spectrum is limited but the significance of the spectrum is increasing at each …
service. The spectrum is limited but the significance of the spectrum is increasing at each …
Estimation of future power consumption level in smart grid: Application of fuzzy logic and genetic algorithm on big data platform
In an environment where the importance of new and renewable energies is growing, the
balance between energy production and consumption cannot be achieved easily. Although …
balance between energy production and consumption cannot be achieved easily. Although …