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.006a.svgz" name="2127467.fig.006a" 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.006b.svgz" name="2127467.fig.006b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Decoding at 50% of nodes</td></tr></table>

<div>Energy efficiency versus transmission hopes for multihop scenario, when (a) computational energy of compression is considered at transmitter nodes, yet decoding is carried out at the receiver, which is the BS, (b) both computation costs of compression and decoding are counted at the transmitters and intermediate nodes, respectively.</div>

Wireless Communications and Mobile Computing

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Figure 6

Figure 6: Adaptive Joint Lossy Source-Channel Coding for Multihop IoT Networks 