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In-network Data Aggregation in VANETs

Grant number: 16/24454-9
Support Opportunities:Scholarships abroad - Research Internship - Doctorate
Effective date (Start): June 01, 2017
Effective date (End): April 30, 2018
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Principal Investigator:Leandro Aparecido Villas
Grantee:Ademar Takeo Akabane
Supervisor: Richard Werner Nelem Pazzi
Host Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Research place: University of Ontario Institute of Technology (UOIT), Canada  
Associated to the scholarship:15/25588-6 - Distributed information management in vehicular social networks, BP.DR


Vehicular ad hoc Network (VANETs) have turned into an important research field in recent years. Research on VANETs aims to improve the traffic efficiency, road safety, and driver comfort. Several applications emerge to meet customer demands such as cooperative traffic information management and parking guidance. These applications need current information from several vehicles located in different geographical regions. Therefore, an important requirement for the successful, as well as the sustainable deployment in VANETs, is the scalability because the wireless communication channels have limited capacity. Moreover, many VANETs application may share the limited bandwidth resources. Therefore, it is obviously not possible to disseminate continuous current information to all network participants. In-network data aggregation has been a powerful technique for enhancing the scalability of the multihop communication, besides, reduce the bandwidth requirement. Instead of many vehicles sending every single data item of the similar content, which are all forwarded individually, data items can be merged into a useful data item. Then, through this technique can reduce communications cost while obtaining useful aggregated information. In this work, we proposed a detailed study of in-network data aggregation for VANETs. The aim of this work is the development a generic aggregation scheme that can tackle the problems found during the study. Through simulations and analysis, we expected that our approach proposed can ensure the expected performance and achieve the state-of-the-art.

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Scientific publications (7)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
AKABANE, ADEMAR TAKEO; IMMICH, ROGER; PAZZI, RICHARD WENNER; MAURO MADEIRA, EDMUNDO ROBERTO; VILLAS, LEANDRO APARECIDO. Exploiting Vehicular Social Networks and Dynamic Clustering to Enhance Urban Mobility Management. SENSORS, v. 19, n. 16, . (15/25588-6, 14/50937-1, 16/24454-9, 18/02204-6)
AKABANE, ADEMAR T.; IMMICH, ROGER; BITTENCOURT, LUIZ F.; MADEIRA, EDMUNDO R. M.; VILLAS, LEANDRO A.. Towards a distributed and infrastructure-less vehicular traffic management system. COMPUTER COMMUNICATIONS, v. 151, p. 306-319, . (15/25588-6, 14/50937-1, 16/24454-9, 18/02204-6)
AKABANE, ADEMAR T.; IMMICH, ROGER; PAZZI, RICHARD W.; MADEIRA, EDMUNDO R. M.; VILLAS, LEANDRO A.. Distributed Egocentric Betweenness Measure as a Vehicle Selection Mechanism in VANETs: A Performance Evaluation Study. SENSORS, v. 18, n. 8, . (18/02204-6, 14/50937-1, 15/25588-6, 16/24454-9)
AKABANE, ADEMAR T.; PAZZI, RICHARD W.; MADEIRA, EDMUNDO R. M.; VILLAS, LEANDRO A.; GKOULALASDIVANIS, A; CORREIA, MP; AVRESKY, DR. Applying Egocentric Betweenness Measure in Vehicular ad hoc Networks. 2017 IEEE 16TH INTERNATIONAL SYMPOSIUM ON NETWORK COMPUTING AND APPLICATIONS (NCA), v. N/A, p. 4-pg., . (15/07538-1, 16/24454-9, 15/25588-6)
AKABANE, ADEMAR T.; GOMES, RAFAEL L.; PAZZI, RICHARD W.; MADEIRA, EDMUNDO R. M.; VILLAS, LEANDRO A.; IEEE. APOLO: A Mobility Pattern Analysis Approach to Improve Urban Mobility. GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE, v. N/A, p. 6-pg., . (16/24454-9, 15/25588-6)
AKABANE, ADEMAR T.; IMMICH, ROGER; PAZZI, RICHARD W.; MADEIRA, EDMUNDO R. M.; VILLAS, LEANDRO A.; IEEE. TRUSTed: A Distributed System for Information Management and Knowledge Distribution in VANETs. 2018 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (ISCC), v. N/A, p. 6-pg., . (15/07538-1, 16/24454-9, 15/24494-8, 15/25588-6)
AKABANE, ADEMAR T.; PAZZI, RICHARD W.; MADEIRA, EDMUNDO R. M.; VILLAS, LEANDRO A.; IEEE. Modeling and Prediction of Vehicle Routes Based on Hidden Markov Model. 2017 IEEE 86TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL), v. N/A, p. 5-pg., . (16/24454-9, 15/25588-6)

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