Routing in wireless sensor networks using machine learning techniques: Challenges and opportunities

P Nayak, GK Swetha, S Gupta, K Madhavi - Measurement, 2021 - Elsevier
Energy conservation is the primary task in Wireless Sensor Networks (WSNs) as these tiny
sensor nodes are the backbone of today's Internet of Things (IoT) applications. These nodes …

Cooperative robotic networks for underwater surveillance: an overview

G Ferri*, A Munafò*, A Tesei, P Braca… - IET Radar, Sonar & …, 2017 - Wiley Online Library
Underwater surveillance has traditionally been carried out by means of surface and
undersea manned vessels equipped with advanced sensor systems. This approach is often …

Machine learning algorithms for wireless sensor networks: A survey

DP Kumar, T Amgoth, CSR Annavarapu - Information Fusion, 2019 - Elsevier
Wireless sensor network (WSN) is one of the most promising technologies for some real-
time applications because of its size, cost-effective and easily deployable nature. Due to …

A scalable algorithm for tracking an unknown number of targets using multiple sensors

F Meyer, P Braca, P Willett… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
We propose an algorithm for tracking an unknown number of targets based on
measurements provided by multiple sensors. Our algorithm achieves low computational …

Underwater acoustic target tracking: A review

J Luo, Y Han, L Fan - Sensors, 2018 - mdpi.com
Advances in acoustic technology and instrumentation now make it possible to explore
marine resources. As a significant component of ocean exploration, underwater acoustic …

A survey of restoration and enhancement for underwater images

W Zhang, L Dong, X Pan, P Zou, L Qin, W Xu - IEEE Access, 2019 - ieeexplore.ieee.org
Images captured underwater usually suffer from color distortion, detail blurring, low contrast,
and a bluish or greenish tone due to light scattering and absorption in the underwater …

Modeling vessel kinematics using a stochastic mean-reverting process for long-term prediction

LM Millefiori, P Braca, K Bryan… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
We present a novel method for predicting long-term target states based on mean-reverting
stochastic processes. We use the Ornstein-Uhlenbeck (OU) process, leading to a revised …

Distributed information fusion in multistatic sensor networks for underwater surveillance

P Braca, R Goldhahn, G Ferri… - IEEE Sensors …, 2015 - ieeexplore.ieee.org
Surveillance in antisubmarine warfare has traditionally been carried out by means of
submarines or frigates with towed arrays. These techniques are manpower intensive …

Multiple extended target tracking for through-wall radars

G Gennarelli, G Vivone, P Braca… - … on Geoscience and …, 2015 - ieeexplore.ieee.org
Tracking moving targets hidden behind visually opaque structures as building walls is a
crucial issue in many surveillance, rescue, and security applications. The electromagnetic …

Context-enhanced vessel prediction based on Ornstein-Uhlenbeck processes using historical AIS traffic patterns: Real-world experimental results

G Pallotta, S Horn, P Braca… - … conference on information …, 2014 - ieeexplore.ieee.org
Traffic route analysis and prediction are both essential for maritime security. Specifically, the
prediction of a vessel position is useful to provide alerts about upcoming events (eg …