A Fuzzy-Logic-Based Double <span class="nowrap"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-2.838901pt" id="M1" height="14.2383pt" version="1.1" viewBox="-0.0657574 -11.3994 12.5675 14.2383" width="12.5675pt"><g transform="matrix(.017,0,0,-0.017,0,0)"><path id="g113-82" d="M699 368C699 549 574 666 407 666C186 666 23 488 23 277C23 113 129 -3 288 -13L307 -26C431 -111 501 -139 533 -147C559 -154 613 -163 658 -164L666 -141C597 -111 507 -66 430 -11L416 -1C580 42 699 190 699 368ZM601 371C601 227 518 54 381 22L354 40L278 24C175 47 120 145 120 269C120 451 235 631 398 631C540 631 601 521 601 371Z"/></g></svg>-</span>Learning Routing in Delay-Tolerant Networks

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2021/8890772/figures/8890772.fig.008a.svgz" name="8890772.fig.008a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Delivery ratio vs. TTL</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2021/8890772/figures/8890772.fig.008b.svgz" name="8890772.fig.008b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Delivery delay vs. TTL</td></tr><tr class="fig-image" id="c"><td><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2021/8890772/figures/8890772.fig.008c.svgz" name="8890772.fig.008c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Overhead vs. TTL</td></tr><tr class="fig-image" id="d"><td><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2021/8890772/figures/8890772.fig.008d.svgz" name="8890772.fig.008d" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(d) </b>Hop count vs. TTL</td></tr></table>

<div>Performance of protocols with different TTL (RioBuses).</div>

Wireless Communications and Mobile Computing

fig8

Figure 8

Figure 8: A Fuzzy-Logic-Based Double <span class="nowrap"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-2.838901pt" id="M1" height="14.2383pt" version="1.1" viewBox="-0.0657574 -11.3994 12.5675 14.2383" width="12.5675pt"><g transform="matrix(.017,0,0,-0.017,0,0)"><path id="g113-82" d="M699 368C699 549 574 666 407 666C186 666 23 488 23 277C23 113 129 -3 288 -13L307 -26C431 -111 501 -139 533 -147C559 -154 613 -163 658 -164L666 -141C597 -111 507 -66 430 -11L416 -1C580 42 699 190 699 368ZM601 371C601 227 518 54 381 22L354 40L278 24C175 47 120 145 120 269C120 451 235 631 398 631C540 631 601 521 601 371Z"/></g></svg>-</span>Learning Routing in Delay-Tolerant Networks 

Wireless Communications and Mobile Computing

A Fuzzy-Logic-Based Double -Learning Routing in Delay-Tolerant Networks

Figure 8