Results 101 to 110 of about 1,984 (191)

DOIDS: An Intrusion Detection Scheme Based on DBSCAN for Opportunistic Routing in Underwater Wireless Sensor Networks. [PDF]

Sensors (Basel), 2023
Zhang R, Zhang J, Wang Q, Zhang H.
europepmc   +1 more source

Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning

Journal of Field Robotics, EarlyView.
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi, Alberto Topini, Alessandro Bucci, Alessandro Ridolfi   +3 more
wiley   +1 more source

A Computationally Efficient Online/Offline Signature Scheme for Underwater Wireless Sensor Networks. [PDF]

Sensors (Basel), 2022
Ullah SS, Hussain S, Uddin M, Alroobaea R, Iqbal J, Baqasah AM, Abdelhaq M, Alsaqour R.   +7 more
europepmc   +1 more source

From 0D to 3D liquid crystal elastomers architectures: Fabrications and applications

Responsive Materials, EarlyView.
This review presents a dimension‐oriented overview of liquid crystal elastomers (LCEs), highlighting their molecular alignment, fabrication strategies, and programmable deformations from 0D particles to 3D architectures. Emphasis is placed on how dimensionality guides design principles, enables diverse actuation modes, and bridges fundamental ...
Mingxuan Liu, Zongxuan Wu, Jinquan Zheng, Yidan Zhu, Yanjun Liu, Lingling Ma, Wei Hu, Yan‐Qing Lu, Dan Luo   +8 more
wiley   +1 more source

A Conceptualized Model for Data Transmission in Underwater Acoustic Wireless Sensor Network

Applications of Modelling and Simulation, 2020
The complexity of underwater acoustic channel is considered to be quite possibly nature’s most unforgiving wireless medium. Nodes in underwater sensor networks which are used for oceanographic data collection, pollution monitoring, offshore exploration ...
James Agajo, Ajao Lukman Adewale, Erhemwanahue O. Idama, Ehizuenlen E. Prudence, Ehigiator Felix   +4 more
doaj  

An extended-range wave-powered autonomous underwater vehicle applied to underwater wireless sensor networks. [PDF]

iScience, 2022
Li H, Wu X, Zhang Z, Tan X, Pan Y, Dai C, Luo D, Ahmed A, Xu Y.   +8 more
europepmc   +1 more source

Scalable low‐cost seabed landers: the missing link for sustained, integrated, long‐term observations in dynamic shallow seas

Remote Sensing in Ecology and Conservation, EarlyView.
Seabed landers, when equipped with a range of biotic and abiotic sensors, offer a non‐invasive and cost‐effective solution for ecosystem‐scale monitoring of Essential Biodiversity Variables (EBVs) and Essential Ocean Variables (EOVs) in dynamic shallow seas.
Arienne Calonge, Roeland Develter, Carlota Muñiz, Clea Parcerisas, Jan Reubens, Wieter Boone, Klaas Deneudt, Elisabeth Debusschere   +7 more
wiley   +1 more source

ENERGY EFFICIENCY ANALYSIS OF ERROR CORRECTION TECHNIQUES IN UNDERWATER WIRELESS SENSOR NETWORKS [PDF]

Journal of Engineering Science and Technology, 2011
Research in underwater acoustic networks has been developed rapidly to support large variety of applications such as mining equipment and environmental monitoring.
M. NORDIN B. ZAKARIA, AMMAR ELYAS BABIKER   +1 more
doaj  

An Efficient Metaheuristic-Based Clustering with Routing Protocol for Underwater Wireless Sensor Networks. [PDF]

Sensors (Basel), 2022
Subramani N, Mohan P, Alotaibi Y, Alghamdi S, Khalaf OI.   +4 more
europepmc   +1 more source

Beyond 5G and Non‐terrestrial Network (NTN) Integrated Architecture: Access Challenges for Expanding Artificial Intelligence of Things (AIoT)

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This study analyzes the architecture of the beyond 5G‐NTN (Non‐terrestrial Network) integrated network and presents the technical, legal, and regulatory challenges and considerations for expanding the Artificial Intelligence of Things (AIoT) ecosystem.
Byung Woon Kim, Ga Eun Choi
wiley   +1 more source