Optimization of Transmission Signal Power through Observation of Congestion in VANets Using the<i> Fuzzy</i> Logic Approach: A Case Study in Highway and Urban Layout

<figure class="figure-group responsive"><div class="sub-figure" id="a"><object data="https://static.hindawi.com/articles/wcmc/volume-2019/2605234/figures/2605234.fig.008a.svgz" name="2605234.fig.008a" type="image/svg+xml"></object><div class="fig-label"><b>(a) </b>Percentage of lost</div></div><div class="sub-figure" id="b"><object data="https://static.hindawi.com/articles/wcmc/volume-2019/2605234/figures/2605234.fig.008b.svgz" name="2605234.fig.008b" type="image/svg+xml"></object><div class="fig-label"><b>(b) </b>Number of lost alerts</div></div></figure>

<p>Highway, (a) percentage of lost alert messages; (b) absolute number of lost alerts.</p>

Wireless Communications and Mobile Computing

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Figure 8

Figure 8: Optimization of Transmission Signal Power through Observation of Congestion in VANets Using the<i> Fuzzy</i> Logic Approach: A Case Study in Highway and Urban Layout 

Figure 8 | Optimization of Transmission Signal Power through Observation of Congestion in VANets Using the Fuzzy Logic Approach: A Case Study in Highway and Urban Layout 