| Texto completo | |
| Autor(es): Mostrar menos - |
Costa, Lourdes Portugal-Poma
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Marcondes, Cesar A. C.
;
Senger, Hermes
;
Gervasi, O
;
Murgante, B
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Misra, S
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Garau, C
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Blecic, I
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Taniar, D
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Apduhan, BO
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Rocha, AMAC
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Tarantino, E
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Torre, CM
Número total de Autores: 13
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| Tipo de documento: | Artigo Científico |
| Fonte: | COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2021, PT IV; v. 12952, p. 17-pg., 2021-01-01. |
| Resumo | |
In large urban spaces, like cities, VANETs are formed by vehicles of highly variable speed and uneven geographic node distribution. Due to the ad-hoc nature of such environments, communication systems must seamlessly adapt to abrupt topology changes to keep the vehicular network organized. Maintain connectivity is hard; a possible naive strategy is based upon expensive on-demand reconnections. Another approach relies on controlled message epidemics. Both of them need to adjust communication behavior under different density situations. Thus, infrastructure-free density estimation methods are becoming popular solutions for this problem. Our paper contributes to this area using a unique density estimation method, independent of beaconing and neighbor discovery (which might generate network congestion), free of cooperative orchestration and based on long-term stability metrics. Our method is validated using vehicular mobility traces, showing outstanding group prediction and stability. (AU) | |
| Processo FAPESP: | 18/22979-2 - IoT-SED: segurança e eficiência no transporte de dados na Internet das Coisas |
| Beneficiário: | Daniel Macêdo Batista |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 15/24461-2 - Estudo de modelos de negócios para federação de serviços para suporte a e-Ciência |
| Beneficiário: | Francisco Vilar Brasileiro |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |