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

<p>The<i> speed</i> variable described by means of a set of<i> linguistic terms</i> and the level of relevance for <span class="nowrap"><svg height="9.25202pt" id="M36" style="vertical-align:-3.29111pt" version="1.1" viewbox="-0.0498162 -5.96091 12.2751 9.25202" width="12.2751pt" xmlns="http://www.w3.org/2000/svg"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M536 404C536 423 520 448 491 448C445 448 398 404 308 283L286 338C255 416 242 448 217 448C182 448 138 402 92 341L111 321C149 368 169 378 178 378C188 378 198 363 214 320L254 212C185 117 138 65 107 65C98 65 85 69 82 75C79 82 73 86 65 86C44 86 23 60 23 39C23 7 44 -12 71 -12C119 -12 168 33 265 177L306 61C321 17 347 -12 373 -12C413 -12 465 33 507 96L491 119C459 84 432 60 413 60C395 60 378 92 358 148L321 250C341 279 369 310 389 332C417 363 439 382 456 382C466 382 475 376 481 368C486 361 492 358 496 358C513 358 536 381 536 404Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,7.202,3.132)"><path d="M245 635C92 635 37 457 37 312C37 149 91 -12 244 -12C395 -12 449 166 449 312C449 469 395 635 245 635ZM243 598C332 598 358 454 358 312C358 173 334 26 245 26C158 26 128 174 128 313S152 598 243 598Z"></path></g></svg>.</span> Adapted from [<a href="/journals/wcmc/2019/2605234/#B26">27</a>].</p>

Wireless Communications and Mobile Computing

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Figure 2

Figure 2: 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 2 | Optimization of Transmission Signal Power through Observation of Congestion in VANets Using the Fuzzy Logic Approach: A Case Study in Highway and Urban Layout 