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Applying Egocentric Betweenness Measure in Vehicular ad hoc Networks

Author(s):
Akabane, Ademar T. ; Pazzi, Richard W. ; Madeira, Edmundo R. M. ; Villas, Leandro A. ; Gkoulalasdivanis, A ; Correia, MP ; Avresky, DR
Total Authors: 7
Document type: Journal article
Source: 2017 IEEE 16TH INTERNATIONAL SYMPOSIUM ON NETWORK COMPUTING AND APPLICATIONS (NCA); v. N/A, p. 4-pg., 2017-01-01.
Abstract

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)

FAPESP's process: 15/07538-1 - Developing Next Generation Smart Services and Applications for Smart Cities
Grantee:Leandro Aparecido Villas
Support Opportunities: Regular Research Grants
FAPESP's process: 16/24454-9 - In-network Data Aggregation in VANETs
Grantee:Ademar Takeo Akabane
Support Opportunities: Scholarships abroad - Research Internship - Doctorate
FAPESP's process: 15/25588-6 - Distributed information management in vehicular social networks
Grantee:Ademar Takeo Akabane
Support Opportunities: Scholarships in Brazil - Doctorate