A HYBRID MODEL USING GENETIC ALGORITHM FOR ENERGY OPTIMIZATION IN HETEROGENEOUS INTERNET OF BLOCKCHAIN THINGS
ABSTRACT The Internet of Things (IoT) is a promising technology inspiring industries and
the public alike with its broad spectrum of applications adding intelligence to real-life …
the public alike with its broad spectrum of applications adding intelligence to real-life …
A secure energy-efficient routing protocol for disease data transmission using IoMT
The outlook of the World toward health infrastructure has drastically changed due to COVID-
19 which created the need for the development of emerging technologies where interactions …
19 which created the need for the development of emerging technologies where interactions …
A genetic-algorithm-based dynamic transmission of data for communicable disease in IoMT environment
Recent advancements in the field of the Internet of Medical Things (IoMT) have enabled the
real-time monitoring and treatment of patients with communicable infectious diseases while …
real-time monitoring and treatment of patients with communicable infectious diseases while …
GM-WOA: a hybrid energy efficient cluster routing technique for SDN-enabled WSNs
The maximization of the network lifespan is the main goal of designing SDN-enabled WSNs
with limited network resource utilization. Clustering and routing techniques are widely used …
with limited network resource utilization. Clustering and routing techniques are widely used …
SMEOR: Sink mobility‐based energy‐optimized routing in energy harvesting‐enabled wireless sensor network
For accurate environmental monitoring, a wireless sensor network (WSN) uses a collection
of autonomous sensor nodes (SNs) that are dispersed at random across a given area …
of autonomous sensor nodes (SNs) that are dispersed at random across a given area …
An optimized artificial intelligence system using iot biosensors networking for healthcare problems
In today's environment, electronics technology is growing rapidly because of the availability
of the numerous and latest devices which can be deployed for monitoring and controlling the …
of the numerous and latest devices which can be deployed for monitoring and controlling the …
Towards sustainable compressive population health: A GAN-based year-by-year imputation method
Population health monitoring is a fundamental component of the public health system. Due
to the high-cost nature of traditional population-wise health-data collection methods, a class …
to the high-cost nature of traditional population-wise health-data collection methods, a class …
Chaotic equilibrium optimizer-based green communication with deep learning enabled load prediction in Internet of Things environment
Currently, there is an emerging requirement for applications related to the Internet of Things
(IoT). Though the capability of IoT applications is huge, there are frequent limitations namely …
(IoT). Though the capability of IoT applications is huge, there are frequent limitations namely …
CMSTR: A Constrained Minimum Spanning Tree Based Routing Protocol for Wireless Sensor Networks
How to extend the network lifetime with given limited energy budget is always one of the
main concerns in Wireless Sensor Networks (WSNs). However, imbalanced energy …
main concerns in Wireless Sensor Networks (WSNs). However, imbalanced energy …
An Intelligent Bio-Inspired Autonomous Surveillance System Using Underwater Sensor Networks
Energy efficiency is important for underwater sensor networks. Designing such networks is
challenging due to underwater environmental traits that hinder network lifespan extension …
challenging due to underwater environmental traits that hinder network lifespan extension …