This paper concerns the deployment problem of wireless sensor networks (WSNs) with
mobile robotic sensor nodes for spatiotemporal monitoring. The proposed approach, deep …

This paper addresses the issue of monitoring physical spatial phenomena of interest
utilizing the information collected by a network of mobile, wireless and noisy sensors that …

Wireless sensor networks (WSNs) have been deployed for many applications of target
detection, such as intrusion detection and wildlife protection. In these applications, the first …

Employing unmanned surface vehicles (USVs) as marine data collectors is promising for
large-scale environment sensing in remote ocean monitoring network. In this article, we …

This brief addresses the issue of monitoring physical spatial phenomena of interest using
information collected by a resource-constrained network of mobile, wireless, and noisy …

Recent years have witnessed the shift of wireless sensor networks (WSNs) from theoretical
research to practical applications. Due to their simplicity, range-based sensor networks have …

Nowadays, Wireless Sensor Networks (WSNs) are playing a vital and sustainable role in
many verticals touching different aspects of our lives including civil, public, and military …

The paper presents a review of the spatial prediction problem in the environmental
monitoring applications by utilizing stationary and mobile robotic wireless sensor networks …

In this paper, we propose an adaptive data-harvesting approach for mobile-agent-assisted
data collection in wireless sensor networks (WSNs) inspired by Behavioral Ecology. By …

Deep learning parallel plays an important role in accelerating model training and improving
prediction accuracy. In order to fully consider the authenticity of the simulation application …