In WSNs, coverage of the target field and wireless connectivity among sensor nodes are important criteria in terms of the performance required for WSN. In indoor environments, the target field is in general 3D space, thus WSNs deployed for such environments are called 3D WSNs. The sensor node deployment problem for 3D coverage and connectivity is NP-hard even without obstacles in the target fie...

Underwater sensor networks (UWSNs) can be applied in sea resource reconnaissance, pollution monitoring and assistant navigation, etc., and have become a hot research field in wireless sensor networks. In open and complicated underwater environments, targets (events) tend to be highly dynamic and uncertain. It is important to deploy sensors to cover potential events in an optimal manner. In this...

In this work we present a decentralized deployment algorithm for wireless mobile sensor networks focused on deployment Efficiency, connectivity Maintenance and network Reparation (EMR). We assume that a group of mobile sensors is placed in the area of interest to be covered, without any prior knowledge of the environment. The goal of the algorithm is to maximize the covered area and cope with s...

The prominent visions of wireless sensor networks that appeared about a decade ago have spurred enormous efforts in research and development of this new class of wireless networked embedded systems. Despite the significant effort made, successful deployments and real-world applications of sensor networks are still scarce, labor-intensive and oftenn cumbersome to achieve. In this article, we sur...

The reasons for such failures can be manifold, including hardware problems (e.g., condensing humidity causing short circuits in a sensor), software bugs (e.g., timing problems that cause the microcontroller to reboot frequently), and networking problems (e.g., communicating nodes fail to wake up concurrently due to excessive clock drift caused by extreme temperature variations). Unfortunately, ...

Sensor deployment is an important issue in designing sensor networks. In this paper, particle swarm optimization (PSO) approach is applied to maximize the coverage based on a probabilistic sensor model in mobile sensor networks and to reduce cost by finding the optimal positions for the clusterhead nodes based on a well-known energy model. During the coverage optimization process, sensors move ...

While deploying a sensor network is necessary for proofof-concept experimentation, it is a time-consuming and tedious task that dramatically slows innovation. Treating sensor networks as shared testbeds and integrating them into a federated testbed infrastructure, such as FIRE, GENI, AKARI, or CNGI, enables a broad user community to benefit from time-consuming deployment exercises. In this pape...

Coverage and connectivity are two important problems in wireless sensor network. This paper focuses on the wireless sensor network communication radius in the high density of sensor nodes deployed randomly and two times smaller than the sensing radius; put forward a distributed k coverage multi connected node deployment algorithm based on grid. Simulation results show that the algorithm in this...

AWireless Sensor Network is composed of many tiny, low-power nodes that integrate sensing units, transceivers, and processing unit and wireless communication capabilities. These devices are deployed in a region of interested area to collect the information from the environment, which will be sent to a remote base station. Wireless Sensor Networks are used for many applications, such as surveill...

Wireless sensor network (WSN) is a network comprised of distributed autonomous devices called sensor nodes which are capable of sensing or monitoring environmental or physical conditions. Wireless sensor networks come across many challenges such as limited battery life, data aggregation and fusion, energy aware routing, security, task scheduling, localization and optimal deployment. In wireless...