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JCARP: Joint Channel Assignment and Routing Protocol for cognitive-radio-based internet of things (CRIoT)
KA Darabkh, MH Al-Tahaineh… - Journal of Information and …, 2024 - Taylor & Francis
To deal efficiently with the spectrum sharing between cognitive radio users, we propose an
innovative routing protocol involving not only a joint and fully distributed spectrum …
innovative routing protocol involving not only a joint and fully distributed spectrum …
Cooperative Sensing Assisted Cross layer QoS Assured Routing in Cognitive Radio Adhoc Networks: Ensuring Security and Privacy.
Achieving higher accuracy of spectrum sensing (SS) becomes a challenge in cognitive radio
adhoc network (CRAN) due to presence of varied power levels, interference, multipath …
adhoc network (CRAN) due to presence of varied power levels, interference, multipath …
Hybrid Cooperative Spectrum Structured (HCSS) Approach for Adaptive Routing in Cognitive Radio Ad Hoc Networks
SD Shamsi, ASHM Ali… - Mesopotamian …, 2025 - journals.mesopotamian.press
Cognitive radio networks provide an important function in the efficient use of the radio
spectrum. Therefore, dedicated cognitive radio ad hoc networks (CRAHNs) are expected to …
spectrum. Therefore, dedicated cognitive radio ad hoc networks (CRAHNs) are expected to …
Experimental testing and analysis of regression algorithms for spectrum sensing in cognitive radio networks
AR Begum, MSD Rani, VV Reddy, BSK Reddy… - Wireless …, 2024 - Springer
The allocation policy has resulted in some bands becoming oversaturated and hindering the
efficient utilization of these frequencies by unlicensed users. Cognitive radio can …
efficient utilization of these frequencies by unlicensed users. Cognitive radio can …
Path Segmentation and Optimization for Routing in Heterogeneous Full/Half Duplex CR-IoT Networks
The tremendous increase in the number of Internet of Things (IoT) devices is leading to
severe scarcity in the available frequency spectrum. Therefore, smart techniques are …
severe scarcity in the available frequency spectrum. Therefore, smart techniques are …
Deep reinforcement learning-based automated network selection in heterogenous CRNs
J **e, J Zhang, X He, S Chen, T Zhang… - International Journal of …, 2024 - igi-global.com
The development of technology that enables network convergence and the rising
acceptance of heterogeneous network architectures have made it possible for many of the …
acceptance of heterogeneous network architectures have made it possible for many of the …
A novel routing protocol for stable route selection in IoT networks
KA Darabkh, TA Alzboun, MH Al-Tahaineh - The Journal of …, 2024 - Springer
Recently, it has become critical to offer adequate spectrum bands for Internet of Things (IoT)
applications. The convergence of Cognitive Radio Networks (CRNs) with IoT is a significant …
applications. The convergence of Cognitive Radio Networks (CRNs) with IoT is a significant …
Adaptive Spider Monkey Optimization Algorithm Based Clustering and Routing for Cognitive Radio Sensor Networks
Cognitive radio sensor networks (CRSN) are severely energy constrained and radio
frequency (RF) wireless energy harvesting (RFWEH) has been shown to improve network …
frequency (RF) wireless energy harvesting (RFWEH) has been shown to improve network …