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An efficient adaptive threshold‐based dragonfly optimization model for cooperative spectrum sensing in cognitive radio networks

https://doi.org/10.1002/dac.4829
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

2 of the 20 references listed on this page are in the Retraction Watch database as retracted (export 2026-11-11): 10.1007/s00500-019-04097-x (notice 2024-09-03), 10.1016/j.cogsys.2018.06.003 (notice 2023-07-20).

Dataset join, best-effort; this page does not check the publisher record. Retraction Watch data via Crossref Labs, used with credit; OpenCitations Index (CC0) and Meta (CC BY 4.0); dataset doi:10.7910/DVN/WT8VOA (CC BY 4.0).

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00500-019-04097-xopenalex-snapshot
RETRACTED ARTICLE: A novel linear SVM-based compressive collaborative spectrum sensing (CCSS) scheme for IoT cognitive 5G network
inferredcites →https://doi.org/10.1016/j.aeue.2017.04.033openalex-snapshot
Novel distributed algorithm for coalition formation for enhanced spectrum sensing in cognitive radio networks
inferredcites →https://doi.org/10.1016/j.aeue.2017.12.024openalex-snapshot
Throughput optimization using availability analysis based spectrum sensing for a cognitive radio
inferredcites →https://doi.org/10.1016/j.aeue.2019.152876openalex-snapshot
A robust multistage spectrum sensing model for cognitive radio applications
inferredcites →https://doi.org/10.1016/j.cogsys.2018.06.003openalex-snapshot
RETRACTED: Localization algorithm of energy efficient radio spectrum sensing in cognitive internet of things radio networks
inferredcites →https://doi.org/10.1016/j.comcom.2019.12.058openalex-snapshot
Spectrum energy detection in cognitive radio networks based on a novel adaptive threshold energy detection method
inferredcites →https://doi.org/10.1016/j.compeleceng.2016.11.037openalex-snapshot
Improved local spectrum sensing in cluttered environment using a simple recursive estimator
inferredcites →https://doi.org/10.1016/j.dsp.2019.07.016openalex-snapshot
Primary signal detection algorithms for spectrum sensing at low SNR over fading channels in cognitive radio
inferredcites →https://doi.org/10.1016/j.jfranklin.2018.10.028openalex-snapshot
Adaptive threshold to guarantee both detection and false alarm probabilities in multi-taper based spectrum sensing
inferredcites →https://doi.org/10.1016/j.jpdc.2017.12.013openalex-snapshot
Combined pre-detection and sleeping for energy-efficient spectrum sensing in cognitive radio networks
inferredcites →https://doi.org/10.1016/j.jss.2019.01.053openalex-snapshot
Performance analysis of radio spectrum for cognitive radio wireless networks using discrete time Markov chain
inferredcites →https://doi.org/10.1016/j.phycom.2017.04.005openalex-snapshot
Spectrum mobility in cognitive radio network using spectrum prediction and monitoring techniques
inferredcites →https://doi.org/10.1016/j.procs.2018.03.020openalex-snapshot
Reinforcement Learning Spectrum Management Paradigm in Cognitive Radio using Novel State and Action Sets
inferredcites →https://doi.org/10.1016/j.procs.2018.03.034openalex-snapshot
Optimal Spectrum Sensing-Access Policy in Energy Harvesting Cognitive Radio Sensor Networks
inferredcites →https://doi.org/10.1016/j.procs.2020.09.311openalex-snapshot
Spectrum Sensing for Smart Embedded Devices in Cognitive Networks using Machine Learning Algorithms
inferredcites →https://doi.org/10.32604/cmc.2020.06680openalex-snapshot
Analysis of Underlay Cognitive Radio Networks based on Interference Cancellation Mechanism
inferredcites →https://doi.org/10.32604/cmc.2020.07059openalex-snapshot
Performance Analysis of Relay based NOMA Cooperative Transmission under Cognitive Radio Network
inferredcites →https://doi.org/10.32604/cmc.2020.09908openalex-snapshot
Power Control and Routing Selection for Throughput Maximization in Energy Harvesting Cognitive Radio Networks
inferredcites →https://doi.org/10.36548/jsws.2019.4.004openalex-snapshot
ENERGY EFFICIENT SENSED DATA CONVEYANCE FOR SENSOR NETWORK UTILIZING HYBRID ALGORITHMS
inferredcites →https://doi.org/10.36548/jsws.2020.2.002openalex-snapshot
Machine Learning Implementation in Cognitive Radio Networks with Game-Theory Technique

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4989130openalex-extracted
An Efficient Hybrid Optimization-Based Particle Swarm Optimization & Genetic Algorithm For Cooperative Spectrum Sensing In Cognitive Radio Networks
inferred← citeshttps://doi.org/10.1007/s11277-022-09825-5openalex-snapshot
A Novel Double Threshold-Based Spectrum Sensing Technique at Low SNR Under Noise Uncertainty for Cognitive Radio Systems
inferred← citeshttps://doi.org/10.1080/03772063.2025.2547995openalex-snapshot
AI-Enhanced Spectrum Sensing Cognitive Radio Networks: Revolutionizing 5G and Beyond
inferred← citeshttps://doi.org/10.1109/access.2023.3319368openalex-snapshot
Spectrum Sensing Algorithm by Multi-Objective Optimization Theory and Fuzzy Integral Method
inferred← citeshttps://doi.org/10.1109/icaiccit60255.2023.10465951openalex-snapshot
Coverage Schemes in Wireless Sensor Networks: A Review
inferred← citeshttps://doi.org/10.21203/rs.3.rs-10638646/v1openalex-snapshot
Adaptive Threshold Optimization for Energy Detection-Based Spectrum Sensing in Cognitive Radio Networks Using Swarm Intelligence
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2450545/v1openalex-snapshot
A survey on several new popular swarm intelligence optimization algorithms
inferred← citeshttps://doi.org/10.26636/jtit.2022.164722openalex-snapshot
Multicriteria Oppositional-Learnt Dragonfly Resource-Optimized QoS Driven Channel Selection for CRNs
inferred← citeshttps://doi.org/10.26636/jtit.2023.3.1360openalex-snapshot
An Efficient Cooperative Spectrum Sensing Method Using Renyi Entropy Weighted Optimal Likelihood Ratio for CRN
inferred← citeshttps://doi.org/10.3390/s21155002openalex-snapshot
Energy-Efficient Adaptive Sensing Scheduling in Wireless Sensor Networks Using Fibonacci Tree Optimization Algorithm
inferred← citeshttps://doi.org/10.52783/jes.1433openalex-snapshot
Dynamic Spectrum Sensing For 5G Cognitive Radio Networks Using Optimization Technique
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