Adaptive Joint Lossy Source-Channel Coding for Multihop IoT Networks

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/wcmc/volume-2020/2127467/figures/2127467.fig.002a.svgz" name="2127467.fig.002a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Transmission energy vs. compression ratio</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/wcmc/volume-2020/2127467/figures/2127467.fig.002b.svgz" name="2127467.fig.002b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Transmission energy vs. coding rate</td></tr></table>

<div>Transmission energy consumption per time slot versus (a) compression ratio (b) coding rate.</div>

Wireless Communications and Mobile Computing

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Figure 2

Figure 2: Adaptive Joint Lossy Source-Channel Coding for Multihop IoT Networks 