Maritime communications: A survey on enabling technologies, opportunities, and challenges

FS Alqurashi, A Trichili, N Saeed… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Water covers 71% of the Earth's surface, where the steady increase in oceanic activities has
promoted the need for reliable maritime communication technologies. The existing maritime …

[HTML][HTML] A survey on integrated sensing, communication, and computing networks for smart oceans

M Dai, Y Li, P Li, Y Wu, L Qian, B Lin, Z Su - Journal of Sensor and …, 2022 - mdpi.com
The smart ocean has been regarded as an integrated sensing, communication, and
computing ecosystem developed for connecting marine objects in surface and underwater …

FNN-based prediction of wireless channel with atmospheric duct

H Zhang, T Zhou, T Xu, Y Wang… - ICC 2021-IEEE …, 2021 - ieeexplore.ieee.org
This paper proposes solutions to channel prediction with atmospheric duct based on
feedforward neural network (FNN) modeling. Specifically, FNN-based model is to produce …

Charging dynamic sensors through online learning

Y Sun, C Lin, W Yang, J Ren, L Wang… - … -IEEE Conference on …, 2023 - ieeexplore.ieee.org
As a novel solution for IoT applications, wireless rechargeable sensor networks (WRSNs)
have achieved widespread deployment in recent years. Existing WRSN scheduling methods …

Design of a broadband high-gain end-fed coaxial collinear antenna

A Hosseini-Fahraji, M Manteghi - IEEE Antennas and Wireless …, 2021 - ieeexplore.ieee.org
Omnidirectional antennas are widely used for mobile communications in the base
transceiver station. This letter introduces a high-gain coaxial collinear (CoCo) antenna with …

Stochastic link modeling of static wireless sensor networks over the ocean surface

A Shahanaghi, Y Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Despite the advantages that ocean surface Wireless Sensor Networks (WSN) have over
traditional ocean monitoring methods, ocean surface WSN research suffers from the lack of …

Joint Computation Offloading and Resource Allocation for Maritime MEC with Energy Harvesting

Z Wang, B Lin, Q Ye, Y Fang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
In this article, we establish a multiaccess edge computing (MEC)-enabled sea lane
monitoring network (MSLMN) architecture with energy harvesting (EH) to support dynamic …

Wi-buoy: An energy-efficient wireless buoy network for real-time high-rate marine data acquisition

VA Reddy, GL Stüber - IEEE Access, 2021 - ieeexplore.ieee.org
The next frontier of maritime networking will see the deployment of large-scale buoy-based
mesh networks, with an equal emphasis on both high-speed data transfer and energy …

Learning-based privacy-aware maritime iot communications

L Xiao, H Yang, W Zhuang, M Min - Reinforcement Learning for Maritime …, 2023 - Springer
Mobile edge computing helps maritime IoT devices with energy harvesting to provide
satisfactory experiences for computation-intensive applications in maritime communication …

A K-Band Ultra-Low-Power High-Linearity Down-Conversion Mixer in CMOS Technology

K Qolami, JY Hasani - 2023 31st International Conference on …, 2023 - ieeexplore.ieee.org
This paper presents an ultra-low-power down-conversion CMOS mixer in 22–32 GHz
frequency band. In the proposed mixer, gm boosting amplifiers are used in the fully …