Thanks to the recent developments on communication techniques, micro-technology and on digital electronics, Underwater Wireless Sensor Networks (UWSNs) are being employed in several types of underwater applications such as wireless identification named Acoustic Frequency Identification (AFID)[1][2]. In this research, we are trying to adapt concepts of wireless acoustic identification to the dif...

Wireless sensor networks (WSNs) have many applications in the areas of commercial, military and environmental requirements. Regarding the deployment of low cost sensor nodes with restricted energy resources, these networks face a lot of security challenges. A basic approach for preparing a secure wireless communication in WSNs, is to propose an efficient cryptographic key management protocol be...

Underwater wireless technologies demand to transmit at higher data rate for ocean exploration. Currently, large coverage is achieved by acoustic sensor networks with low data rate, high cost, high latency, high power consumption, and negative impact on marine mammals. Meanwhile, optical communication for underwater networks has the advantage of the higher data rate albeit for limited communicat...

Underwater Wireless Sensor Networks (UWSN) has attracted significant attention recently. One of the most important issues in these networks is the energy constraint. Battery power in UWSN is limited and usually batteries cannot be easily recharged or changed. Therefore energy saving in this type of networks is vital. Network life time can be estimated by estimating energy consumption of nodes. ...

Wireless sensor networks attracting a great deal of research interest. Accurate localization of sensor nodes is a strong requirement in a wide area of applications. In recent years, several techniques have been proposed for localization in wireless sensor networks. In this paper we present a localization scheme with using only one mobile anchor station and received signal strength indicator tec...

In this paper we focus on the application of reinforcement learning to obstacle avoidance in dynamic Environments in wireless sensor networks. A distributed algorithm based on reinforcement learning is developed for sensor networks to guide mobile robot through the dynamic obstacles. The sensor network models the danger of the area under coverage as obstacles, and has the property of adoption o...

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...

The interest in monitoring applications using underwater sensor networks has been growing in recent years. The severe communication restrictions imposed by underwater channels make that efficient monitoring be a challenging task. Though a lot of research has been conducted on underwater sensor networks, there are only few concrete applications to a real-world case study. In this work, hence, we...

Wireless sensor networks(WSN) have unique properties that distinguished them from other wireless networks and have special challenges. Not-chargeable, not-changeable and limited power supplies of sensor nodes is the most important challenge of this networks, and if the power supply of node expired, a part of data maybe lost. Because of the importance of covers in wireless sensors, in this work ...

Deployment efforts of underwater acoustic sensor networks have been impeded by the prohibitive monetary cost and high power consumption of existing acoustic hardware, which typically targets deep water long range communication. To address this issue, we propose software-driven underwater networks that rely on widely available speakers and microphones in electronic devices, coupled with software...