The Sapienza University Networking framework for underwater Simulation Emulation and real-life Testing (SUNSET) is a toolkit for the implementation and testing of protocols for underwater sensor networks. SUNSET enables a radical new way of performing experimental research on underwater communications. It allows protocol designers and implementors to easily realize their solutions and to evalua...

It has been 20 years since the concept of the Autonomous Ocean Sampling Network (AOSN) was first introduced. This vision has been brought closer to reality with the introduction of underwater gliders.While in terms of functionality the underwater glider has shown to be capable of meeting the AOSN vision, in terms of reliability there is no communitywide hard evidence on whether persistent prese...

The aim of this paper is to highlight the prospects and problems of optical wireless communication for applications in the field of Underwater Wireless Sensor Networks (UWSNs). The necessity of wireless underwater connections, especially in UWSN, has dramatically increased in the last few years for a wide range of applications, from environmental monitoring to surveillance. The problem of wirel...

In this paper, intelligent guidance and control laws are developed for an autonomous underwater vehicle to engage underwater targets. The engagement of underwater targets is suffered from uncertainties of the complicated underwater environment, short detecting range of the sonar seeker, the low speed ratio between vehicle and target, and longtime operations but no accurate positioning technique...

The field of underwater acoustic networking is growing rapidly thanks to the key role it plays in many military and commercial applications. Among these are disaster prevention, tactical surveillance, offshore exploration, pollution monitoring and oceanographic data collection. The underwater acoustic propagation channel presents formidable challenges, including slow propagation of acoustic wav...

In this chapter, the authors provide an overview of state-of-the-art image enhancement and restoration techniques for underwater images. Underwater imaging is one of the challenging tasks in the field of image processing and computer vision. Usually, underwater images suffer from non-uniform lighting, low contrast, diminished color, and blurring due to attenuation and scattering of light in the...

Support vector machines have been validated as an efficient artificial intelligent algorithm for solving classification and regression problems on account of their simple model structure, good generalization and global optimal solution. However, their on-line performances are not yet widely used. A simple on-line algorithm named incremental least square support vector machines is put forward by...

In underwater sensor network(UWSN) research, it is highly expensive to deploy a complete test bed involving complex network structure and data links to validate a network protocol or an algorithm. This practical challenge points to the need of a simulation environment which can reproduce the actual underwater scenario without the loss of generality. Since so many simulators are proposed for UWS...