An enhanced energy-efficient fuzzy-based cognitive radio scheme for IoT
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 …
advent of technology, numerous techniques have been developed in communication …
Improved recurrent neural network schema for validating digital signatures in VANET
Vehicular ad hoc networks (VANETs) allow communication between stationary or moving
vehicles with the assistance of wireless technology. Among various existing issues in smart …
vehicles with the assistance of wireless technology. Among various existing issues in smart …
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 …
consists of self-configuring moving vehicles which are called nodes. It is an inevitable …
Oes-fed: a federated learning framework in vehicular network based on noise data filtering
Abstract The Internet of Vehicles (IoV) is an interactive network providing intelligent traffic
management, intelligent dynamic information service, and intelligent vehicle control to …
management, intelligent dynamic information service, and intelligent vehicle control to …
Comparative Study on Energy-Efficiency for Wireless Body Area Network using Machine Learning Approach
Awareness of one's own health needs is a quickly spreading revolution in contemporary
living. Wireless Body Area Network (WBAN), that uses smart IoT devices for device …
living. Wireless Body Area Network (WBAN), that uses smart IoT devices for device …
A cognitive knowledged energy-efficient path selection using centroid and ant-colony optimized hybrid protocol for WSN-assisted IoT
NP Raj Kumar, GJ Bala - Wireless Personal Communications, 2022 - Springer
In a WSN-assisted IoT environment, the sensors are resource constrained. The energy,
computing and storage resources of deployed sensors in the sensing area are limited. A …
computing and storage resources of deployed sensors in the sensing area are limited. A …
Application and Challenges of Blockchain in IoMT in Smart Healthcare System
The paradigm of smart healthcare has increasingly gained prominence as information
technology has advanced. Smart healthcare employs a new generation of technological …
technology has advanced. Smart healthcare employs a new generation of technological …
An Efficient Opportunistic Routing Protocol with Low Latency for Farm Wireless Sensor Networks
H Wu, X Han, H Zhu, C Chen, B Yang - Electronics, 2022 - mdpi.com
Wireless sensor networks (WSN) can accurately and timely obtain the production
information of crops, and provide data basis for intelligent agriculture. The dynamic crop …
information of crops, and provide data basis for intelligent agriculture. The dynamic crop …
An adaptive fuzzy-based clustering model for healthcare wireless sensor networks
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 …
applications and technologies with significantly different requirements and features in recent …
Energy-aware neuro-fuzzy routing model for WSN based-IoT
S Jeevanantham, B Rebekka - Telecommunication Systems, 2022 - Springer
Wireless sensor networks have become a vital part of the Internet of Things (IoT)
applications. Due to its resource constraints nature, significant challenges in achieving QoS …
applications. Due to its resource constraints nature, significant challenges in achieving QoS …