Applying Egocentric Betweenness Measure in Vehicular ad hoc Networks

Autor(es)

Akabane, Ademar T. ; Pazzi, Richard W. ; Madeira, Edmundo R. M. ; Villas, Leandro A. ; Gkoulalasdivanis, A ; Correia, MP ; Avresky, DR

• Tipo de documento: Artigo Científico
• Fonte: 2017 IEEE 16TH INTERNATIONAL SYMPOSIUM ON NETWORK COMPUTING AND APPLICATIONS (NCA); v. N/A, p. 4-pg., 2017-01-01.

Resumo

Ego-network concept has been systematically studied, since this kind of network employs only locally available information to analyze its structure. Degree, closeness, and betweenness are widely studied centrality measures. Among the three measures presented, betweenness centrality in ego-networks is the most used in several fields such as Wireless Mesh Networks, Wireless Sensor Networks, and Delay Tolerant Networks. However, surprisingly, that measure has not been largely investigated in Vehicular ad hoc Networks (VANETs). In this paper, we contribute to filling this gap by designing and implementing the egocentric betweenness measure in VANETs, besides we compare it to the sociocentric betweenness measure. (AU)

• Processo FAPESP: 15/07538-1 - Desenvolvimento de Serviços Inteligentes de nova Geração e Aplicações para Cidades Inteligentes
• Beneficiário: Leandro Aparecido Villas
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 16/24454-9 - Agregação de Dados em VANETs
• Beneficiário: Ademar Takeo Akabane
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Doutorado
• Processo FAPESP: 15/25588-6 - Gerenciamento distribuído de informação em redes sociais veiculares
• Beneficiário: Ademar Takeo Akabane
• Modalidade de apoio: Bolsas no Brasil - Doutorado