Korrigeringer

Energy consumption is of main concern in the field of Wireless Video Sensor Networks (WVSN) where energy resources are limited, consisting only in the battery of the sensor nodes that determines their lifetime.

In this paper, we propose an empirical parametric model to predict the energy consumption of a High Efficiency Video Coding (HEVC) based video encoder in its intra-only mode, used in the context of the next generation WVSNs.

Such model is of great interest to adapt the waste of energy of the encoding phase to the remaining energy budget of the node, while meeting the required video quality.

The proposed model predicts the energy consumption, considering the adopted Quantization Parameter (QP) and the Frame Rate Parameter (FR).

A Raspberry Pi 2 card based video sensor node is used for modelling and validation, considering different configurations and spatial resolutions.

The obtained results demonstrate that the proposed model describes well the occurred energy dissipation during the video encoding phase, with an average prediction error of 4.5%.