FETCH: A deep learning-based fog computing and IoT integrated environment for healthcare monitoring and diagnosis
These days cloud-based infrastructure is facing many challenges, out of which the major
issue is their syncing data before cutover and data migration. Due to the limited scalability in …
issue is their syncing data before cutover and data migration. Due to the limited scalability in …
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 …
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 …
ARIOR: adaptive ranking based improved opportunistic routing in wireless sensor networks
Adaptive ranking in opportunistic routings is known to significantly improve the performance
over traditional opportunistic routing protocols in wireless networks using a volunteer node …
over traditional opportunistic routing protocols in wireless networks using a volunteer node …
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 …
Resource scheduling in fog environment using optimization algorithms for 6g networks
In the traditional system, various researchers have suggested different resource scheduling
and optimization algorithms. However, still, there is a scope to reduce Bandwidth, latency …
and optimization algorithms. However, still, there is a scope to reduce Bandwidth, latency …
MOORP: Metaheuristic based optimized opportunistic routing protocol for wireless sensor network
S Chaurasia, K Kumar - Wireless Personal Communications, 2023 - Springer
In recent years, WSNs are acquiring popularity due to small-sized and flexible
implementation; many applications require quick data transfer with minimal energy …
implementation; many applications require quick data transfer with minimal energy …