| Autor: |
Cláudio F. R. Geyer, Adriano Mendonça Souza, Guilherme A. Borges, Anubis Graciela de Moraes Rossetto, Valderi Reis Quietinho Leithardt, Carlos O. Rolim, Tatiana F. M. dos Santos |
| Rok vydání: |
2016 |
| Zdroj: |
Anais do VIII Simpósio Brasileiro de Computação Ubíqua e Pervasiva (SBCUP 2016). |
| DOI: |
10.5753/sbcup.2016.9463 |
| Popis: |
One challenge in urban sensing applications is related to the transmission of data when network infrastructure is intermittent or unavailable. For such task, the Opportunistic Networks emerged as a promising alternative. The main problem in this context is how to improve messages routing between network nodes. Thus, this work presents a engine that employs situation awareness in conjunction with uncertainty treatment to overcome such limitation. The experiments demonstrate that the proposed engine was an acceptable performance and can be used as a basis for opportunistic data transmission in a urban sensing architecture called UrboSenti. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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