An enhanced energy-efficient fuzzy-based cognitive radio scheme for IoT

P Chithaluru, T Stephan, M Kumar, A Nayyar - Neural Computing and …, 2022 - Springer
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 …

Data transmission strategy based on node motion prediction IoT system in opportunistic social networks

F Gou, J Wu - Wireless Personal Communications, 2022 - Springer
With the rapid popularization of mobile smart devices in the IoT and the 5G environment,
nodes' requirements for network response speed are constantly increasing. Edge computing …

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 …

[HTML][HTML] Oes-fed: a federated learning framework in vehicular network based on noise data filtering

Y Lei, SL Wang, C Su, TF Ng - PeerJ Computer Science, 2022 - peerj.com
Abstract The Internet of Vehicles (IoV) is an interactive network providing intelligent traffic
management, intelligent dynamic information service, and intelligent vehicle control to …

Resource scheduling in fog environment using optimization algorithms for 6g networks

G Goel, R Tiwari - International Journal of Software Science and …, 2022 - igi-global.com
In the traditional system, various researchers have suggested different resource scheduling
and optimization algorithms. However, still, there is a scope to reduce Bandwidth, latency …

Task management in IoT-Fog-Cloud environment employing static scheduling Techniques

G Goel, R Tiwari - ENP Engineering Science Journal, 2022 - enpesj.enp.edu.dz
In a distributed computing system, there are limited resources, which needs to be utilized
effectively. Then for improving QoS Fog computing paradigm is an effective way, with …

An adaptive fuzzy-based clustering model for healthcare wireless sensor networks

P Chithaluru, L Jena, D Singh… - Ambient Intelligence in …, 2022 - Springer
Healthcare wireless sensor networks (WSNs) have made their way into a wide range of
applications and technologies with significantly different requirements and features in recent …

Statistical validations on energy efficient routing protocols to improve the performance of Wireless Sensor Network

P Chithaluru, L Jena, D Singh… - … Conference on Machine …, 2022 - ieeexplore.ieee.org
In a Wireless Sensor Network (WSN), there is a need for research in design a well-suited
routing protocol used for remote applications, and it may resolve the issues related to …

DTAR: A Dynamic Threshold Adaptive Ranking-Based Energy-Efficient Routing Algorithm for WSNs

R Amutha, GG Sivasankari, KR Venugopal… - Journal of …, 2022 - World Scientific
Owing to uncertainties associated with energy and maintenance of large Wireless Sensor
Networks (WSN) during transmission, energy-efficient routing strategies are gaining …

DCEE-ORP: Dragon Fly inspired Cluster based Energy Efficient Opportunistic Routing Protocol for WSNs

S Chaurasia, K Kumar - 2022 IEEE International Conference on …, 2022 - ieeexplore.ieee.org
WSNs provide fine-grained measurements of the real world. A WSN comprises of several
battery-operated sensor nodes with computing, communication, and processing capabilities …