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.005a.svgz" name="2127467.fig.005a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Decoding at the BS</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/wcmc/volume-2020/2127467/figures/2127467.fig.005b.svgz" name="2127467.fig.005b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Decoding at the receiver</td></tr></table>

<div>Total energy efficiency versus compression ratio for single hop, when (a) decoding is carried out at the receiver which is the BS, (b) decoding is carried out at the receiver which is an intermediate node or cluster head. The computation energy of decoding is counted according to the used coding rate of JLSCC systems.</div>

Wireless Communications and Mobile Computing

fig5

Figure 5

Figure 5: Adaptive Joint Lossy Source-Channel Coding for Multihop IoT Networks 