An enhanced energy-efficient fuzzy-based cognitive radio scheme for IoT
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 …
advent of technology, numerous techniques have been developed in communication …
Energy-balanced neuro-fuzzy dynamic clustering scheme for green & sustainable IoT based smart cities
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 …
solutions to critical sustainable smart city applications. Each sustainable application has its …
[PDF][PDF] An enhanced self-learning-based clustering scheme for real-time traffic data distribution in wireless networks
The process of examining the data flow over the internet to identify abnormalities in wireless
network performance is known as network traffic analysis. When analyzing network traffic …
network performance is known as network traffic analysis. When analyzing network traffic …
Computational-intelligence-inspired adaptive opportunistic clustering approach for industrial IoT networks
The major issues and challenges of the Industrial Internet of Things (IIoT) include network
resource management, self-organization; routing, mobility, scalability, security, and data …
resource management, self-organization; routing, mobility, scalability, security, and data …
An Optimized Bio-inspired Localization Routing Technique for Sustainable IIoT Networks & Green Cities
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 …
(SN) energy limitations and computational capability. As a result, optimum node location …
An authentication protocol for next generation of constrained Iot systems
S Rostampour, N Bagheri, Y Bendavid… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
With the exponential growth of connected Internet of Things (IoT) devices around the world,
security protection and privacy preservation have risen to the forefront of design and …
security protection and privacy preservation have risen to the forefront of design and …
Traffic anomaly detection in wireless sensor networks based on principal component analysis and deep convolution neural network
C Yao, Y Yang, K Yin, J Yang - IEEE Access, 2022 - ieeexplore.ieee.org
With the popularity of wireless networks, wireless sensor networks (WSNs) have advanced
rapidly, and their flexibility and ease of deployment have resulted in more security concerns …
rapidly, and their flexibility and ease of deployment have resulted in more security concerns …
MIFNet: A lightweight multiscale information fusion network
Semantic segmentation technique plays a crucial role in Internet of Things applications,
such as industrial robotics and self‐driving. Recently deep learning approaches have …
such as industrial robotics and self‐driving. Recently deep learning approaches have …
An optimized intelligent computational security model for interconnected blockchain-IoT system & cities
Blockchain technology may provide a potential solution to the Internet of Things (IoT)
security challenges by providing a decentralized and secure method for storing, managing …
security challenges by providing a decentralized and secure method for storing, managing …
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 …
consists of self-configuring moving vehicles which are called nodes. It is an inevitable …