2026-05-28T19:58:25Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/325682026-02-03T11:18:02Zcom_10630_2254col_10630_37953

00925njm 22002777a 4500 dc Toutouh-el-Alamin, Jamal author Alba-Torres, Enrique author 2018-04-19 Vehicular ad hoc networks (VANETs) allow vehicles to exchange warning messages with each other. These specific kinds of networks help reduce hazardous traffic situations and improve safety, which are two of the main objectives in developing Intelligent Transportation Systems (ITS). For this, the performance of VANETs should guarantee the delivery of messages in a required time. An obstacle to this is that the data traffic generated may cause network congestion. Data congestion control is used to enhance network capabilities, increasing the reliability of the VANET by decreasing packet losses and communication delays. In this study, we propose a swarm intelligence based distributed congestion control strategy to maintain the channel usage level under the threshold of network malfunction, while keeping the quality- of-service of the VANET high. An exhaustive experimentation shows that the proposed strategy improves the throughput of the network, the channel usage, and the stability of the communications in comparison with other competing congestion control strategies. Toutouh, J., & Alba, E. (2018). A swarm algorithm for collaborative traffic in vehicular networks. Vehicular Communications, 12, 127-137. https://hdl.handle.net/10630/32568 10.1016/j.vehcom.2018.04.003 Sistemas inteligentes de transporte A swarm algorithm for collaborative traffic in vehicular networks.