A roadmap towards energy‐efficient data fusion methods in the Internet of Things

B Pourghebleh, N Hekmati… - Concurrency and …, 2022 - Wiley Online Library
Nowadays, with the rapid progress of Internet‐based and distributed systems such as cloud
computing, peer‐to‐peer networking, and Internet of Things (IoT), significant improvements …

[HTML][HTML] Energy-aware UAV based on blockchain model using IoE application in 6G network-driven cybertwin

AB Kathole, J Katti, D Dhabliya, V Deshpande… - Energies, 2022 - mdpi.com
Several advanced features exist in fifth-generation (5G) correspondence than in fourth-
generation (4G) correspondence. Centric cloud-computing architecture achieves resource …

A genetic algorithm-based energy-aware multi-hop clustering scheme for heterogeneous wireless sensor networks

R Muthukkumar, L Garg, K Maharajan… - PeerJ Computer …, 2022 - peerj.com
Background The energy-constrained heterogeneous nodes are the most challenging
wireless sensor networks (WSNs) for develo** energy-aware clustering schemes …

Optimization of energy and security in mobile sensor network using classification based signal processing in heterogeneous network

S Ramesh, S Nirmalraj, S Murugan… - Journal of Signal …, 2023 - Springer
The use of mobile devices has been growing rapidly and at the same time mobile
applications has attained increasing popularity. Moreover, mobile services have introduced …

[PDF][PDF] System performance of wireless sensor network using LoRa-Zigbee hybrid communication

VT Truong, A Nayyar, SA Lone - Computers, Materials & Continua, 2021 - researchgate.net
Wireless sensor network (WSN) is considered as the fastest growing technology pattern in
recent years because of its applicability in varied domains. Many sensor nodes with different …

A novel data aggregation using multi objective based male lion optimization algorithm (DA-MOMLOA) in wireless sensor network

G Saranraj, K Selvamani, P Malathi - Journal of Ambient Intelligence and …, 2022 - Springer
Wireless sensor network efficiently aggregates and transmits data in an internet of things
(IoT) environment. Machine Learning algorithms can minimize data transmission rates by …

Internet of things based weather and water quality monitoring system

BG Durga, THM Kumaran, IV Devika… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
Weather forecasting is a statistical analysis of an environment. It is widely used to predict the
upcoming weather monitoring report. Weather is a climate in terms of temperature, air swing …

End-to-end security enabled intelligent remote IoT monitoring system

K Saleem, MF Zinou, F Mohammad, R Ouni… - Frontiers in …, 2024 - frontiersin.org
Introduction: Internet of things (IoT) compose of million of devices connected together over
the internet. IoT plays a vital role now a days and especially in future, the most of the …

Majority voting based hybrid ensemble classification approach for predicting parking availability in smart city based on IoT

A Sampathkumar, R Maheswar… - 2020 11th …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) deployed enormous amount of data. The most challenging research
is scrutinizing the parking availability among the distributed traffic in smart city. Usage of IoT …

Analysis of false data detection rate in generative adversarial networks using recurrent neural network

AS Kumar, LT Jule, K Ramaswamy… - … Adversarial Networks for …, 2021 - Elsevier
In this chapter, we aim to scale-up the operation of GAN using recurrent neural network
(RNN). The GAN is designed with two deep neural network models, where the first network …