Most of the existing node depth-adjustment deployment algorithms for underwater wireless sensor networks (UWSNs) just consider how to optimize network coverage and connectivity rate. However, these literatures don't discuss full network connectivity, while optimization of network energy efficiency and network reliability are vital topics for UWSN deployment. Therefore, in this study, a depth-ad...

Improving coverage and connectivity is a very important issue in wireless sensor networks. The unattended or uncovered region in a sensing field is called a coverage hole. A coverage hole impacts the performance of the wireless sensor network, disconnects the network topology and causes delay in data transmission. These coverage holes can be healed randomly or each hole can be assigned a priori...

Sensing coverage and network connectivity are two of the most fundamental problems in wireless sensor networks. Finding an optimal node deployment strategy that would minimize cost, reduce computation and communication overhead, be resilient to node failures, and provide a high degree of coverage with network connectivity is extremely challenging. Coverage and connectivity together can be treat...

Coverage has been an active research area in mobile sensor networks. For a randomly placed large-scale sensor network, sensor nodes would most probably be distributed asymmetrically, and it requires the coverage algorithm to do with the diffusion and contraction of the network. Most of the existed algorithms are on the assumption that sensor nodes are initially densely distributed or the states...

Coordination of mobile robot teams has attracted significant attention in the area robotics research. As one most important techniques used multi-robot systems, coverage shown great potential to be applied many real-world applications. In this paper, we aim provide a novel path planning method for with applications cooperative autonomous vacuum cleaning. Some preliminary results are presented u...