{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T16:41:42Z","timestamp":1776444102553,"version":"3.51.2"},"reference-count":66,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2021,1,12]],"date-time":"2021-01-12T00:00:00Z","timestamp":1610409600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The routing algorithm is one of the main factors that directly impact on network performance. However, conventional routing algorithms do not consider the network data history, for instances, overloaded paths or equipment faults. It is expected that routing algorithms based on machine learning present advantages using that network data. Nevertheless, in a routing algorithm based on reinforcement learning (RL) technique, additional control message headers could be required. In this context, this research presents an enhanced routing protocol based on RL, named e-RLRP, in which the overhead is reduced. Specifically, a dynamic adjustment in the Hello message interval is implemented to compensate the overhead generated by the use of RL. Different network scenarios with variable number of nodes, routes, traffic flows and degree of mobility are implemented, in which network parameters, such as packet loss, delay, throughput and overhead are obtained. Additionally, a Voice-over-IP (VoIP) communication scenario is implemented, in which the E-model algorithm is used to predict the communication quality. For performance comparison, the OLSR, BATMAN and RLRP protocols are used. Experimental results show that the e-RLRP reduces network overhead compared to RLRP, and overcomes in most cases all of these protocols, considering both network parameters and VoIP quality.<\/jats:p>","DOI":"10.3390\/s21020504","type":"journal-article","created":{"date-parts":[[2021,1,12]],"date-time":"2021-01-12T20:11:31Z","timestamp":1610482291000},"page":"504","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Enhanced Routing Algorithm Based on Reinforcement Machine Learning\u2014A Case of VoIP Service"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8018-4721","authenticated-orcid":false,"given":"Davi Ribeiro","family":"Militani","sequence":"first","affiliation":[{"name":"Department of Computer Science, Federal University of Lavras, Minas Gerais 37200-000, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1417-0433","authenticated-orcid":false,"given":"Hermes Pimenta","family":"de Moraes","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Federal University of Lavras, Minas Gerais 37200-000, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7595-7187","authenticated-orcid":false,"given":"Renata Lopes","family":"Rosa","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Federal University of Lavras, Minas Gerais 37200-000, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3033-3020","authenticated-orcid":false,"given":"Lunchakorn","family":"Wuttisittikulkij","sequence":"additional","affiliation":[{"name":"Wireless Communication Ecosystem Research Unit, Department of Electrical Engineering, Chulalongkorn University, Bangkok 10330, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7107-0888","authenticated-orcid":false,"given":"Miguel Arjona","family":"Ram\u00edrez","sequence":"additional","affiliation":[{"name":"Department of Electronic Systems Engineering, University of S\u00e3o Paulo, S\u00e3o Paulo 05508-010, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5401-7551","authenticated-orcid":false,"given":"Dem\u00f3stenes Zegarra","family":"Rodr\u00edguez","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Federal University of Lavras, Minas Gerais 37200-000, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,1,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Khan, F., and Li, H. 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