Currently, mobile wireless sensor network (WSN) has been widely deployed for environment
monitoring, often involving environment information reconstruction. In practice the number of …

This paper addresses the problem of optimizing sensor deployment locations of a wireless
sensor network to reconstruct and also predict a spatiotemporal signal. Traditional sensor …

Due to the strong anti-destructive ability, global coverage, and independent infrastructure of
the space-based Internet of Things (S-IoT), it is one of the most important ways to achieve a …

Sensing and subsequent analysis of the environmental data of a given geographical area is
an essential requisite for the planned development of that region. Nowadays, IoT Sensor …

Environmental monitoring with wireless sensor networks is attracting much attentions. If the
event giving the impact to dramatically change the environment occurs, the suitable sensors …

In this paper, we combat the problem of performance optimization in wireless sensor
networks of next-generation and beyond. Specifically, a novel framework is proposed to …

Autonomous wireless agents are deployed in difficult to approach environments in order to
gather information for example temperature, pressure or pollution distributions. Although the …

Wireless sensor networks (WSNs) and IoT are often deployed for long-term monitoring.
However, the network lifetime of these applications is limited by non-rechargeable battery …

Environment reconstruction is to rebuild the physical environment in the cyberspace using
the sensory data collected by sensor networks, which is a fundamental method for human to …

Large scale dense wireless sensor networks (WSNs) will be increasingly deployed in
different classes of applications for accurate monitoring. Due to their high density of nodes, it …