Energy consumption challenges in clustered cognitive radio sensor networks: A review

K Ntshabele, B Isong, N Dladlu… - 2019 IEEE 28th …, 2019 - ieeexplore.ieee.org
Cognitive radio sensor networks (CRSNs) employed clustering topology to help sensor
nodes operate autonomously improve energy consumption, provide quality of service …

A cuckoo search optimization-based forward consecutive mean excision model for threshold adaptation in cognitive radio

H Abdullahi, AJ Onumanyi, S Zubair, AM Abu-Mahfouz… - Soft Computing, 2020 - Springer
The forward consecutive mean excision (FCME) algorithm is one of the most effective
adaptive threshold estimation algorithms presently deployed for threshold adaptation in …

Histogram partitioning algorithms for adaptive and autonomous threshold estimation in cognitive radio–based industrial wireless sensor networks

AJ Onumanyi, AM Abu‐Mahfouz… - Transactions on …, 2019 - Wiley Online Library
Modern energy detectors typically use adaptive threshold estimation algorithms to improve
signal detection in cognitive radio–based industrial wireless sensor networks (CR‐IWSNs) …

Bayesian-based Spectrum sensing and Optimal Channel estimation for MAC layer protocol in cognitive radio sensor networks

JV Maisuria, SN Mehta - The Computer Journal, 2020 - academic.oup.com
Cognitive radio (CR) is an intelligent and adaptive radio technology that automatically
detects the available channels in the wireless spectrum and sometimes changes the …

Comprehensive analysis of energy efficiency schemes in the Internet of Things

ND Mntuwaphi, B Isong, N Gasela… - 2020 2nd …, 2020 - ieeexplore.ieee.org
Internet of things (IoT) is an innovative technology that has gained significant research
attention in recent years and is still gaining momentum. This technology permits …