In this paper, we propose Tic-Tac-Toe-Arch, an energy-efficient, self-organizing, and virtual network architecture for Underwater Sensor Networks (UWSNs). In UWSNs, underwater currents play a major role for connectivity disruption. The Tic-Tac-Toe-Arch is capable of self-organizing the selection of active nodes to maintain the connectivity providing a virtual topology. Further, this selection is such that the redundant nodes are selected based on node density and passive node mobility in the corresponding underwater layer.

This paper analyzes the effects of near-surface oceanic bubble plumes on the overall performance of Underwater Wireless Acoustic Sensor Networks (UWASNs). The existence of bubble plumes in surface and sub-surface ocean water columns is inevitable in most windy oceanic environments. There exists studies reporting the anomalous behavior of acoustic signal propagating through oceanic bubble plumes due to absorption and scattering. It aslo consider path loss, acoustic communication.

This paper focuses on the performance analysis of Underwater Wireless Acoustic Sensor Networks (UWASNs) with passively mobile sensor nodes moving due to the influence of major oceanic forces, node mobility, acoustic signal, underwater wireless acoustic sensor network. In an UWSN, passive node mobility is inevitable. Therefore, the performance analysis of UWASNs renders meaningful insights with the inclusion of a mobility model which represents realistic oceanic scenarios.

In this paper, we have analyzed the performance of distributed Underwater Wireless Acoustic Sensor Networks (UWASNs) in the presence of internal solitons in the ocean. Internal waves commonly occur in a layered oceanic environment having differential medium density.It also deals with distributed underwater sensor networks, acoustic communication, acoustics signal,and scattering.

In this work, we study the problem of dynamic topology management in underwater wireless multimedia sensor networks (UWMSNs) in the presence of underwater wireless multimedia sensor nodes using cooperation game theory. It also consider a delayoptimal dynamic topology control scheme for UWMSNs, while maximizing the network throughput and lifetime.

In this paper, we propose a localization scheme named Opportunistic Localization by Topology Control (OLTC), specifically for sparse Underwater Sensor Networks (UWSNs). In a UWSN, an unlocalized sensor node finds its location by utilizing the spatiotemporal relation with the reference nodes. We also focus on Game-theoretic approach, Sparse UWSNs, Oligopoly.

.In this paper, we propose a distributed, 3-dimensional, energyefficient localization scheme, named High-Speed AUV-Based Silent Localization (HASL), for large-scale mobile UWSNs. The existing solutions that have been proposed to address the localization problem for mobile Underwater Sensor Networks (UWSNs) exhibit performance challenges, such as, high message overhead, localization error, and cost. Few Autonomous Underwater Vehicle (AUV) based methods were introduced to utilize the flexibility of movement of an AUV.

In this paper, we introduce a 3-dimensional, distributed, iterative, and ‘silent’ localization protocol for Mobile Underwater Sensor Networks (MUSNs) named as Mobility Assisted Localization Scheme (MobiL). The existing solutions addressing the localization problem in underwater sensor networks either consider the sensor nodes to be stationary or require powerful nodes, which can directly communicate with the surface sinks.

In this paper, we propose a Self-adaptive AUV-based Localization (SEAL) scheme, which is specifically designed to provide network-wide localization service to sensor nodes in sparsely deployed Underwater Sensor Networks (UWSN) using a high-speed Autonomous Underwater Vehicle (AUV). In SEAL, we excogitate a simple and self-adaptive scheme, which empowers the AUV to select deployment-aware transmission range and maintain energy-efficiency. Simulations in NS-3 indicate that SEAL achieves significantly improved localization coverage while maintaining the energy-efficiency of the AUV when compared to the schemes from the existing literature that were considered as benchmarks in this study.

In this paper, we propose SecRET, a Secure Range-based localization scheme empowered by Evidence Theory for UWSNs. With trust-based computations, the proposed scheme, SecRET, enables the unlocalized nodes to select the most reliable set of anchors with low resource consumption.