The use of more effective processing tools such as advanced video codecs in wireless
sensor networks (WSNs) has enabled widespread adoption of video-based WSNs for
monitoring and surveillance applications. Considering that in video-based WSN applications
large amounts of energy resources are required for both compression and transmission of
video content, optimizing the energy consumption is of paramount importance. There is a
trade-off between the encoding complexity and compression performance in the sense that …