EEDCS: Energy efficient data collection schemes for IoT enabled wireless sensor network

S Pandey, K Dubey, R Dubey, S Kumar - Wireless Personal …, 2023 - Springer
In the data collection of WSN, the main challenge is that the communication has to be
energy-efficient to overcome the limited battery constraint along with increasing the lifetime …

Bee system-based self configurable optimized resource allocation technique in device-to-device (D2D) communication networks

WH Mahdi, N Taşpinar - IEEE Access, 2023 - ieeexplore.ieee.org
With the exponential growth of mobile devices and high capabilities of intelligence, global
communication network traffic is expected to experience remarkable growth in the next few …

SafeCoder: A machine-learning-based encoding system to embed safety identification information into QR codes

H Su, J Niu, X Liu, M Atiquzzaman - Journal of Network and Computer …, 2024 - Elsevier
In social networks, the Internet of Things, mobile computing, electronic commerce, and other
fields, Quick Response (QR) codes have been widely used as the interface between online …

Jarvis-Patrick-Clusterative African Buffalo Optimized Deep Learning Classifier for Device-to-Device Communication in 5G Networks

V Sridhar, R Indrakanti, M Renuka… - IETE Journal of …, 2023 - Taylor & Francis
With the fifth generation (5G), there are several mobiles devices may connect to the network
from any location. Device-to-device (D2D) communication is a crucial component of 5G …

Red Deer Optimisation-Based Delay Minimisation for mmWave Communication System Enabled with Mobile Edge Computing

N Unnisa, M Tatineni - Journal of Information & Knowledge …, 2023 - World Scientific
Mobile edge computing (MEC)-oriented solutions are essential for various 5G wireless
communication systems. It is considered a key technology for future communication systems …