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Browsing by Author "Onumanyi, Adeiza J"

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Adaptive threshold techniques for cognitive radio-based low power wide area network

Author: Onumanyi, Adeiza J ; Abu-Mahfouz, Adnan MI ; Hancke, GP Date: Feb 2020 Some low power wide area network (LPWAN) developers such as Sigfox, Weightless, and Nwave, have recently commenced the integration of cognitive radio (CR) techniques in their respective LPWAN technologies, generally termed CR-LPWAN systems. ... Read more
Amplitude quantization method for autonomous threshold estimation in self-reconfigurable cognitive radio systems

Author: Onumanyi, Adeiza J ; Abu-Mahfouz, Adnan MI ; Hancke, G Date: Feb 2021 Self-adaptive threshold adjustment algorithms (SATAs) are required to reconfigure their parameters autonomously (i.e. to achieve self-parameter adjustment) at runtime and during online use for effective signal detection in cognitive radio ... Read more
AutoElbow: An automatic elbow detection method for estimating the number of clusters in a dataset

Author: Onumanyi, Adeiza J ; Molokomme, Daisy N ; Isaac, Sherrin J ; Abu-Mahfouz, Adnan MI Date: 2022 The elbow technique is a well-known method for estimating the number of clusters required as a starting parameter in the K-means algorithm and certain other unsupervised machine-learning algorithms. However, due to the graphical output nature ... Read more
Cognitive radio in low power wide area network for IoT applications: Recent approaches, benefits and challenges

Author: Onumanyi, Adeiza J ; Abu-Mahfouz, Adnan MI ; Hancke, GP Date: Nov 2019 Some recent survey statistics suggest that low power wide area networks (LPWANs) are fast becoming the most prevalent communication platform used in many applications of the Internet of things (IoT). However, because most LPWANs are generally ... Read more c b
A comparative analysis of local and global adaptive threshold estimation techniques for energy detection in cognitive radio

Author: Onumanyi, Adeiza J ; Abu-Mahfouz, Adnan MI ; Hancke, GP Date: Aug 2018 In this paper, we compare local and global adaptive threshold estimation techniques for energy detection in Cognitive Radio (CR). By this comparison we provide a sum-up synopsis on the effective performance range and the operating conditions ... Read more
A critical appraisal of various implementation approaches for realtime pothole anomaly detection: Towards safer roads in developing nations

Author: Bello-Salau, H ; Onumanyi, Adeiza J ; Adebiyi, RF ; Adekale, AD ; Bello, RS ; Ajayi, O Date: Oct 2023 Road infrastructure is essential to national security and growth. Potholes on the road sur- face causes accidents and costly automotive damage. Novel technology that detects potholes and alerts drivers in real time may address this challenge. ... Read more
A critical appraisal of various implementation approaches for realtime pothole anomaly detection: Towards safer roads in developing nations

Author: Bello-Salau, H ; Onumanyi, Adeiza J ; Adebiyi, RF ; Adekale, AD ; Bello, RS ; Ajayi, O Date: Oct 2023 Road infrastructure is essential to national security and growth. Potholes on the road surface causes accidents and costly automotive damage. Novel technology that detects potholes and alerts drivers in real time may address this challenge. ... Read more
A cuckoo search optimization-based forward consecutive mean excision model for threshold adaptation in cognitive radio

Author: Abdullahi, A ; Onumanyi, Adeiza J ; Zubair, S ; Abu-Mahfouz, Adnan MI ; Hancke, GP Date: Nov 2019 The forward consecutive mean excision (FCME) algorithm is one of the most effective adaptive threshold estimation algorithms presently deployed for threshold adaptation in cognitive radio (CR) systems. However, its effectiveness is often ... Read more
A delay-aware spectrum handoff scheme for prioritized time-critical industrial applications with channel selection strategy

Author: Oyewobi, SS ; Hancke, GP ; Abu-Mahfouz, Adnan MI ; Onumanyi, Adeiza J Date: Aug 2019 Cognitive radio has emerged as an enabling technology in the realization of a spectrum-efficient and delay-sensitive industrial wireless communication where nodes are capable of responding in real-time. However, particularly for time-critical ... Read more
Edge intelligence in Smart Grids: A survey on architectures, offloading models, cyber security measures, and challenges

Author: Molokomme, DN ; Onumanyi, Adeiza J ; Abu-Mahfouz, Adnan MI Date: Aug 2022 The rapid development of new information and communication technologies (ICTs) and the deployment of advanced Internet of Things (IoT)-based devices has led to the study and implementation of edge computing technologies in smart grid (SG) ... Read more
An effective spectrum handoff based on reinforcement learning for target channel selection in the industrial Internet of Things

Author: Oyewobi, SS ; Hancke, GP ; Abu-Mahfouz, Adnan MI ; Onumanyi, Adeiza J Date: Mar 2019 The overcrowding of the wireless space has triggered a strict competition for scare network resources. Therefore, there is a need for a dynamic spectrum access (DSA) technique that will ensure fair allocation of the available network resources ... Read more
eHealth: A survey of architectures, developments in mHealth, security concerns and solutions

Author: Alenoghena, CO ; Onumanyi, Adeiza J ; Ohize, HO ; Adejo, AO ; Oligbi, M ; Ali, SI ; Okoh, SA Date: Oct 2022 The ramifications of the COVID-19 pandemic have contributed in part to a recent upsurge in the study and development of eHealth systems. Although it is almost impossible to cover all aspects of eHealth in a single discussion, three critical ... Read more
Generalized self-tuning system for adaptive threshold estimators in cognitive radio systems using swarm and evolutionary-based approaches

Author: Onumanyi, Adeiza J ; Abu-Mahfouz, Adnan MI ; Hancke, GP Date: Jan 2021 Parameter-based adaptive threshold estimators (ATEs) are widely used for signal detection in cognitive radio (CR) systems. However, their performance deteriorates under dynamic spectra conditions owing to a lack of valid methods to accurately ... Read more
Histogram partitioning algorithms for adaptive and autonomous threshold estimation in cognitive radio–based industrial wireless sensor networks

Author: Onumanyi, Adeiza J ; Abu-Mahfouz, Adnan MI ; Hancke, GP Date: Jul 2019 Modern energy detectors typically use adaptive threshold estimation algorithms to improve signal detection in cognitive radio–based industrial wireless sensor networks (CR‐IWSNs). However, a number of adaptive threshold estimation algorithms ... Read more
Load-driven resource allocation for enhanced interference mitigation in cellular networks

Author: Asaka, OT ; Adejo, A ; Onumanyi, Adeiza J ; Bello-Salau, H ; Oluwamotemi, FT Date: Jul 2021 Cellular users are often considered to be uniformly distributed within the communication network for the purposes of simplified analysis. Based on this assumption, the inter-cell interference experienced by users has been handled using soft ... Read more
Low power wide area network, cognitive radio and the Internet of Things: Potentials for integration

Author: Onumanyi, Adeiza J ; Abu-Mahfouz, Adnan MI ; Hancke, GP Date: Nov 2020 The Internet of Things (IoT) is an emerging paradigm that enables many beneficial and prospective application areas, such as smart metering, smart homes, smart industries, and smart city architectures, to name but a few. These application ... Read more
New discrete cuckoo search optimization algorithms for effective route discovery in IoT-based vehicular ad-hoc networks

Author: Bello-Salau, H ; Onumanyi, Adeiza J ; Abu-Mahfouz, Adnan MI ; Adejo, AO ; Mu'azu, MB Date: Aug 2020 Recently, the Internet of Things (IoT) is widely considered in vehicular ad-hoc networks (VANETs) for use in intelligent transportation systems. In particular, the pervasive deployment of different sensors in modern vehicles has unlocked ... Read more
Overlay virtualized wireless sensor networks for application in industrial internet of things: A review

Author: Nkomo, M ; Hancke, GP ; Abu-Mahfouz, Adnan MI ; Sinha, S ; Onumanyi, Adeiza J Date: Sep 2018 In recent times, Wireless Sensor Networks (WSNs) are broadly applied in the Industrial Internet of Things (IIoT) in order to enhance the productivity and efficiency of existing and prospective manufacturing industries. In particular, an area ... Read more
Performance analysis of machine learning algorithms for energy demand–supply prediction in smart grids

Author: Cebekhulu, Eric ; Onumanyi, Adeiza J ; Isaac, Sherrin J Date: Feb 2022 The use of machine learning (ML) algorithms for power demand and supply prediction is becoming increasingly popular in smart grid systems. Due to the fact that there exist many simple ML algorithms/models in the literature, the question arises ... Read more
Performance analysis of machine learning classifiers for pothole road anomaly segmentation

Author: Bello-Salau, H ; Onumanyi, Adeiza J ; Adebiyi, RF ; Adedokun, EA ; Hancke, Gp Date: Jun 2021 Recently, machine learning (ML) classifiers are being widely deployed in many intelligent transportation systems towards improving the safety and comfort of passengers as well as to ease and enhance road navigation. However, the comparative ... Read more

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