Softwarization of UAV networks: A survey of applications and future trends

OS Oubbati, M Atiquzzaman, TA Ahanger… - IEEE Access, 2020 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) have become increasingly important in assisting 5G and
beyond 5G (B5G) mobile networks. Indeed, UAVs have all the potentials to both satisfy the …

An enhanced energy-efficient fuzzy-based cognitive radio scheme for IoT

P Chithaluru, T Stephan, M Kumar, A Nayyar - Neural Computing and …, 2022 - Springer
Energy is a critical factor to be considered in electrical and electronic systems. With the
advent of technology, numerous techniques have been developed in communication …

Energy-balanced neuro-fuzzy dynamic clustering scheme for green & sustainable IoT based smart cities

P Chithaluru, F Al-Turjman, M Kumar… - Sustainable Cities and …, 2023 - Elsevier
Abstract The Internet of Things (IoT) is a pervasive computing technology that provides
solutions to critical sustainable smart city applications. Each sustainable application has its …

An Optimized Bio-inspired Localization Routing Technique for Sustainable IIoT Networks & Green Cities

P Chithaluru, F Al-Turjman, T Stephan, M Kumar… - Sustainable Cities and …, 2023 - Elsevier
Abstract The industrial Internet of Things (IIoTs) network life is shortened due to sensor node
(SN) energy limitations and computational capability. As a result, optimum node location …

SDN-enabled cyber-physical security in networked microgrids

Y Li, Y Qin, P Zhang, A Herzberg - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
A software-defined active synchronous detection (SDASD) is presented to protect networked
microgrids (NMs) from cyberattacks on SDN network and power bot attacks on inverter …

An enhanced hybrid glowworm swarm optimization algorithm for traffic-aware vehicular networks

P Upadhyay, V Marriboina, S Kumar, S Kumar… - IEEE …, 2022 - ieeexplore.ieee.org
A subclass of a Mobile Adhoc Network (MANET) is a Vehicular Adhoc Network (VANET). It
consists of self-configuring moving vehicles which are called nodes. It is an inevitable …

Eyeblink robot control using brain-computer interface for healthcare applications

SK Ramakuri, P Chithaluru, S Kumar - International Journal of Mobile …, 2019 - igi-global.com
The human brain is the central organ of the human system. Many people in the world cannot
move on their own and can't control things on their own. A person whose brain is active can …

Resource-efficient distributed deep neural networks empowered by intelligent software-defined networking

K Lu, Z Du, J Li, G Min - IEEE Transactions on Network and …, 2022 - ieeexplore.ieee.org
Contemporary machine learning methods have evolved from conventional algorithms to
deep neural networks (DNNs) that are computation-and data-intensive. Thus, they are …

An adaptive fuzzy-based clustering model for healthcare wireless sensor networks

P Chithaluru, L Jena, D Singh… - Ambient Intelligence in …, 2022 - Springer
Healthcare wireless sensor networks (WSNs) have made their way into a wide range of
applications and technologies with significantly different requirements and features in recent …

[HTML][HTML] Programmable adaptive security scanning for networked microgrids

Z Jiang, Z Tang, P Zhang, Y Qin - Engineering, 2021 - Elsevier
Communication-dependent and software-based distributed energy resources (DERs) are
extensively integrated into modern microgrids, providing extensive benefits such as …