[HTML][HTML] An improved deep reinforcement learning routing technique for collision-free VANET
P Upadhyay, V Marriboina, SJ Goyal, S Kumar… - Scientific Reports, 2023 - nature.com
Abstract Vehicular Adhoc Networks (VANETs) is an emerging field that employs a wireless
local area network (WLAN) characterized by an ad-hoc topology. Vehicular Ad Hoc …
local area network (WLAN) characterized by an ad-hoc topology. Vehicular Ad Hoc …
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 …
[HTML][HTML] Improved recurrent neural network schema for validating digital signatures in VANET
Vehicular ad hoc networks (VANETs) allow communication between stationary or moving
vehicles with the assistance of wireless technology. Among various existing issues in smart …
vehicles with the assistance of wireless technology. Among various existing issues in smart …
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 …
[HTML][HTML] Energy-efficient blockchain implementation for cognitive wireless communication networks (CWCNs)
Considering the computation resources available with sensor devices and the value and
validity of Cognitive Wireless Communication Network (CWCN), traditional blockchain is not …
validity of Cognitive Wireless Communication Network (CWCN), traditional blockchain is not …
An enhanced consortium blockchain diversity mining technique for IoT metadata aggregation
P Chithaluru, F Al-Turjman, R Dugyala… - Future Generation …, 2024 - Elsevier
Over the last two decades, Internet of Things (IoT) networks have grown exponentially.
Although the devices have relatively low memory, resource, and processing capability, the …
Although the devices have relatively low memory, resource, and processing capability, the …
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 …
A cooperation federated forwarder selection technique for maximizing network lifetime in wireless sensor network
Abstract Wireless Sensor Network (WSN) fulfills the requirements to solve real-life
applications due to their unattended nature. But, the main constraint faced by researchers is …
applications due to their unattended nature. But, the main constraint faced by researchers is …