Sensing of the application environment is the main purpose of a wireless sensor network.
Most existing energy management strategies and compression techniques assume that the …

One of the main characteristics of Wireless Sensor Networks (WSNs) is the constrained
energy resources of their wireless sensor nodes. Although this issue has been addressed in …

In the last years, wireless sensor networks (WSNs) have gained increasing attention from
both the research community and actual users. As sensor nodes are generally battery …

Software Defined Networking promises to simplify network management tasks by separating
the control plane (a central controller) from the data plane (switches). OpenFlow has …

The energy problem in wireless sensor networks remains one of the major barriers
preventing the complete exploitation of this technology. Sensor nodes are typically powered …

Energy conservation techniques for wireless sensor networks generally assume that data
acquisition and processing have energy consumption that is significantly lower than that of …

Wireless sensor networks allow fine-grained observations of real-world phenomena.
However, providing constant measurement updates incurs high communication costs for …

The myriad of potential applications supported by wireless sensor networks (WSNs) has
generated much interest from the research community. Various applications range from …

Energy conservation techniques for sensor networks typically rely on the assumption that
data sensing and processing consume considerable less energy than communication. This …

This paper presents a novel spatio-temporal LSTM (SPATIAL) architecture for time series
forecasting applied to environmental datasets. The framework was applied for three different …