A systematic review on energy efficiency in the internet of underwater things (IoUT): Recent approaches and research gaps
Due to the advancement of wireless communications, Internet of Things (IoT) becomes a
promising technology in today's digital world. For the enhancement of underwater …
promising technology in today's digital world. For the enhancement of underwater …
SUCCESSFUL DEPLOYMENT OF SECURE INTELLIGENT CONNECTIVITY FOR LAN AND WLAN
A Yaseen - Journal of Intelligent Connectivity and Emerging …, 2022 - questsquare.org
Abstract The paper explores Secure Intelligent Connectivity (SIC) for enhancing security in
Local Area Networks (LAN) and Wireless Local Area Networks (WLAN). It defines SIC …
Local Area Networks (LAN) and Wireless Local Area Networks (WLAN). It defines SIC …
An IoT-platform-based deep learning system for human behavior recognition in smart city monitoring using the Berkeley MHAD datasets
Internet of Things (IoT) technology has been rapidly developing and has been well utilized
in the field of smart city monitoring. The IoT offers new opportunities for cities to use data …
in the field of smart city monitoring. The IoT offers new opportunities for cities to use data …
Efficient energy mechanism in heterogeneous WSNs for underground mining monitoring applications
Wireless Sensor Networks (WSNs) play an important role in underground mining
applications. In particular, they help to collect information using sensors and provide …
applications. In particular, they help to collect information using sensors and provide …
A Comparative Study on Cloud and Edgeb Computing: A Survey on Current Research Activities and Applications
Cloud computing and edge computing are distinct architectures that process data. Cloud
computing is a centralized model of computing where data is stored and processed in a …
computing is a centralized model of computing where data is stored and processed in a …
Green machine learning approach for QoS improvement in cellular communications
Green cellular communications are becoming an important approach due to large-scale and
complex radio networks. Due to the dynamic cellular network behaviors related to …
complex radio networks. Due to the dynamic cellular network behaviors related to …
Downlink Power Allocation for CR-NOMA-Based Femtocell D2D Using Greedy Asynchronous Distributed Interference Avoidance Algorithm
This paper focuses on downlink power allocation for a cognitive radio-based non-orthogonal
multiple access (CR-NOMA) system in a femtocell environment involving device-to-device …
multiple access (CR-NOMA) system in a femtocell environment involving device-to-device …
Social Internet of Things (SIoT) Localization for Smart Cities Traffic Applications
In recent years, many applications have appeared that use GPS systems extensively,
especially in GPS data-based traffic monitoring systems for phones and smart vehicles as …
especially in GPS data-based traffic monitoring systems for phones and smart vehicles as …
Machine learning and deep learning approaches for robotics applications
Robotics plays a significant part in raising the standard of living. With a variety of useful
applications in several service sectors, such as transportation, manufacturing, and …
applications in several service sectors, such as transportation, manufacturing, and …
Performance Evaluation of Multi-Access Edge Computing for Blended Learning Services
Multi-access Edge Computing (MEC) is a technology that enables the deployment of cloud
computing capabilities at the edge of the network. It is an emerging technology that has …
computing capabilities at the edge of the network. It is an emerging technology that has …