Reinforcement learning for energy-efficient trajectory design of UAVs
Integrating unmanned aerial vehicles (UAVs) as aerial base stations (BSs) into terrestrial
cellular networks has emerged as an effective solution to provide coverage and complement …
cellular networks has emerged as an effective solution to provide coverage and complement …
Decentralized, privacy-preserving routing of cellular-connected unmanned aerial vehicles for joint goods delivery and sensing
Unmanned aerial vehicles (UAVs) have been extensively applied to goods delivery and in-
situ sensing. It becomes increasingly probable that multiple UAVs are delivering goods and …
situ sensing. It becomes increasingly probable that multiple UAVs are delivering goods and …
Shahmukhi named entity recognition by using contextualized word embeddings
Abstract Named Entity Recognition (NER) is an imperative Natural Language Processing
(NLP) task which intents to identify and classify predefined named entities in a given span of …
(NLP) task which intents to identify and classify predefined named entities in a given span of …
Sum throughput maximization scheme for NOMA-Enabled D2D groups using deep reinforcement learning in 5G and beyond networks
Device-to-device (D2D) communication underlaying cellular network is a capable system for
advancing the spectrum's efficiency. However, in this condition, D2D generates cross …
advancing the spectrum's efficiency. However, in this condition, D2D generates cross …
Energy-and delay-efficient algorithm for large-scale data collection in mobile-sink WSNs
This paper deals with the problem of large-scale data collection in wireless sensor networks
equipped with multiple multi-interface mobile sinks. Employing mobile sinks for data …
equipped with multiple multi-interface mobile sinks. Employing mobile sinks for data …
Improved unequal-clustering and routing protocol
MA Alharbi, M Kolberg - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Increased network lifetime is a desired property of low-powered and energy-constrained
Internet of Things (IoT) devices that are deployed in wireless network environments …
Internet of Things (IoT) devices that are deployed in wireless network environments …
Aquahet-pso: An informative path planner for a fleet of autonomous surface vehicles with heterogeneous sensing capabilities based on multi-objective pso
MJ Ten Kathen, FP Samaniego, IJ Flores… - IEEE Access, 2023 - ieeexplore.ieee.org
The importance of monitoring and evaluating the quality of water resources has significantly
grown over time. To achieve this effectively, an option is to employ an intelligent monitoring …
grown over time. To achieve this effectively, an option is to employ an intelligent monitoring …
High throughput wireless links for time-sensitive WSNs with reliable data requirements
A Al-Dweik, Y Iraqi - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Wireless sensor networks (WSNs) and internet of things (IoT) are expected to add a massive
number of wireless devices to support various emerging applications. Consequently …
number of wireless devices to support various emerging applications. Consequently …
Trust-aware virtual network embedding in wireless sensor networks
P Rezaeimoghaddam, I Al-Anbagi - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Network virtualization in wireless sensor networks (WSNs) enables the utilization of their
shared sensing capabilities. Efficient assignment of WSN resources to maximize the …
shared sensing capabilities. Efficient assignment of WSN resources to maximize the …
GPS Spoofing on UAV: A Survey
With the development of the Internet of Things (IoT) and Cyber-Physical System (CPS),
Unmanned Aerial Vehicles (UAVs) are deployed in various implementations which improve …
Unmanned Aerial Vehicles (UAVs) are deployed in various implementations which improve …