| Full text | |
| Author(s): Show less - |
Costa, Lourdes Portugal-Poma
;
Marcondes, Cesar A. C.
;
Senger, Hermes
;
Gervasi, O
;
Murgante, B
;
Misra, S
;
Garau, C
;
Blecic, I
;
Taniar, D
;
Apduhan, BO
;
Rocha, AMAC
;
Tarantino, E
;
Torre, CM
Total Authors: 13
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| Document type: | Journal article |
| Source: | COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2021, PT IV; v. 12952, p. 17-pg., 2021-01-01. |
| Abstract | |
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) | |
| FAPESP's process: | 18/22979-2 - IoT-SED: security and efficiency in data transport on Internet of Things |
| Grantee: | Daniel Macêdo Batista |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 15/24461-2 - A study of business models for the federation of services supporting e-Science |
| Grantee: | Francisco Vilar Brasileiro |
| Support Opportunities: | Research Projects - Thematic Grants |