Abstract | ||
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n view of the need for new optimization techniques capable ofincreasing the reliability of the Inter-vehicular CommunicationSystems (IVC), indispensable for the development of IntelligentTransportation Systems (ITS), this work proposes the use of a meta-heuristic based on evolutionary computation, to optimize parame-ters in the MAC-layer in search of the best throughput, latency andpacket loss values, in an urban scenario. These approaches showedup to 91% of reduction in the time needed to find the best MAC-layer configurations for multi-objective optimization of throughput,latency and packet loss, when compared to the use of exhaustivesearch.
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Year | DOI | Venue |
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2018 | 10.1145/3272036.3272046 | MSWIM '18: 21st ACM Int'l Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems
Montreal
QC
Canada
October, 2018 |
Keywords | Field | DocType |
ITS, IVC, MAC-level QoS, Evolotutionary Computation, Multi-objective Discrete Differential Evolution, NSGA-II | Latency (engineering),Computer science,Packet loss,Quality of service,Evolutionary computation,Computer network,Throughput,Wireless ad hoc network,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-4503-5964-1 | 1 | 0.37 |
References | Authors | |
14 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hilson G. Vilar de Andrade | 1 | 1 | 0.37 |
M. F. R. Rios | 2 | 1 | 0.37 |
Rafael N. Lima | 3 | 1 | 0.71 |
Henrique F. Lacerda | 4 | 1 | 0.71 |
Abel Guilhermino Silva-Filho | 5 | 62 | 12.94 |