A comparative study of software defined networking controllers using mininet
Software Defined Networking (SDN) is a relatively new networking architecture that has
become the most widely discussed networking technology in recent years and the latest …
become the most widely discussed networking technology in recent years and the latest …
Wildfire monitoring based on energy efficient clustering approach for FANETS
Forest fires are a significant threat to the ecological system's stability. Several attempts have
been made to detect forest fires using a variety of approaches, including optical fire sensors …
been made to detect forest fires using a variety of approaches, including optical fire sensors …
A security policy protocol for detection and prevention of internet control message protocol attacks in software defined networks
Owing to the latest advancements in networking devices and functionalities, there is a need
to build future intelligent networks that provide intellectualization, activation, and …
to build future intelligent networks that provide intellectualization, activation, and …
HealthGuard: An intelligent healthcare system security framework based on machine learning
Utilization of the Internet of Things and ubiquitous computing in medical apparatuses have
“smartified” the current healthcare system. These days, healthcare is used for more than …
“smartified” the current healthcare system. These days, healthcare is used for more than …
Optimization of load balancing and task scheduling in cloud computing environments using artificial neural networks-based binary particle swarm optimization (BPSO)
MI Alghamdi - Sustainability, 2022 - mdpi.com
As more people utilize the cloud, more employment opportunities become available. With
constraints such as a limited make-span, a high utilization rate of available resources …
constraints such as a limited make-span, a high utilization rate of available resources …
A comprehensive review on big data challenges
Increased hardware capability has allowed many businesses to store massive amounts of
data in the previous few years. Streams of data may go on forever, so they are used in so …
data in the previous few years. Streams of data may go on forever, so they are used in so …
A machine learning-based framework for the prediction of cervical cancer risk in women
One of the most common types of cancer in women is cervical cancer, a disease which is the
most prevalent in poor nations, with one woman dying from it every two minutes. It has a …
most prevalent in poor nations, with one woman dying from it every two minutes. It has a …
Early forest fire detection using a protocol for energy-efficient clustering with weighted-based optimization in wireless sensor networks
Wireless sensor networks (WSNs) have proven to be incredibly useful for forest applications
that rely on sensing technologies for event detection and monitoring. This radical sensing …
that rely on sensing technologies for event detection and monitoring. This radical sensing …
Comparison of IoT Communication Protocols Using Anomaly Detection with Security Assessments of Smart Devices
The authors implemented an attack scenario that involved simulating attacks to compromise
node and sensor data. This research proposes a framework with algorithms that generates …
node and sensor data. This research proposes a framework with algorithms that generates …
A Review on the need of Clustering Techniques Used for Wireless Sensor Networks
Wireless sensor networks have been implemented in various software to help gather and
analyze data from the physical world. Wireless sensor networks are networks of multiple tiny …
analyze data from the physical world. Wireless sensor networks are networks of multiple tiny …