Underwater Wireless Sensor Networks (UWSN) share the common challenges of terrestrial Wireless Sensor Network (WSN), however they are significantly different from terrestrial WSN. Mainly, because acoustic wireless communication is the main physical layer technology in UWSN. Acoustic communication offers longer range, but has limitations due to low speed of sound, high error probability, limited...

Large propagation delay and node movement are considered to be two significant attributes that differentiate an underwater wireless sensor network (UWSN) from a ground wireless sensor network (WSN). The acoustic-based media dramatically narrows the bandwidth of communication of UWSN due to slow propagation speed. An underwater sensor node can move out of and into another node’s range frequently...

Energy consumption is one of the most challenging constraintsof the design and implementation of the sensor network. Underwater sensor networking is the technology that enables the applications like environment monitoring, underwater exploration, seismic monitoring and other surveillance applications. In underwater sensor network,a sensor node senses the data and transmits it to the sink. Many ...

In some underwater sensor networks, sensor nodes may be deployed at various depths of an ocean making those networks threedimensional (3D). While most terrestrial sensor networks can usually be modeled as two dimensional (2D) networks, these underwater sensor networks must be modeled as 3D networks. This leads to new research challenges in the area of network architecture and topology. In this ...

Underwater Wireless Sensor Networks (UWSNs) provide a new opportunities to examine and predict the activities of aquatic environments. Some applications such as target tracking , disaster prevention etc where sensed data is worthless without any location information. Localization is the process of estimating the location of each node in a sensor network. In underwater sensor networks (UWSNs) de...

recently, data collection from seabed by means of underwater wireless sensor networks (uwsn) has attracted considerable attention. autonomous underwater vehicles (auvs) are increasingly used as uwsns in underwater missions. events and environmental parameters in underwater regions have a stochastic nature. the target area must be covered by sensors to observe and report events. a ‘topology cont...

Centrality rankings such as degree, closeness, betweenness, Katz, PageRank, etc. are commonly used to identify critical nodes in a graph. Œese methods are based on two assumptions that restrict their wider applicability. First, they assume the exact topology of the network is available. Secondly, they do not take into account the activity over the network and only rely on its topology. However,...

Wireless sensor networks have emerged as a fastgrowing technology that has enabled us to monitor physical and environmental states. As of yet these valuable sensor networks have been bound to terrestrial terrains; however, seventy percent of the Earth’s surface is covered by enormous bodies of water: oceans, seas and rivers. Most of this territory remains unchartered, and this primarily gave a ...

Underwater wireless sensor network nodes deployment optimization problem is studied and underwater wireless sensor nodes deployment determines its capability and lifetime. Underwater wireless sensor network if no wireless sensor node is available in the area due to used up energy or any other reasons, the area which is not detected by any wireless sensor node forms coverage holes. The coverage ...

Underwater sensor network (UWSN) has emerged as a powerful technique for aquatic applications. Different from ground based networks, UWSN features long propagation delay, low bandwidth and high error rate. Limited power capacity and node mobility also make it difficult to apply existing protocols or algorithm designed for terrestrial networks to UWSN. It requires new research at every layer of ...