An Intelligent Edge-Traffic Routing Architecture for Vehicular Data-Mule Services

Authors

Keywords:

Data Offloading, Data Mule, Urban Computing, VANET

Abstract

Using vehicles as a data mule in vehicular networks contributes to a greater capacity for data offloading from network devices in urban computing scenarios. The biggest obstacle in this type of solution resides in the complexity of managing a communication infrastructure composed of elements spread over different levels of the network. This work proposes the intelligent Edge-Traffic Routing (iETR) architecture, which provides geocast data mule services in urban computing to transport high volumes of data, based on requirements defined by the application. We implement and evaluated iETR through simulation. The results show that it can successfully reduce data transfer times and ensure application scalability, through vehicles distributed at the network edge.

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Author Biographies

Guilherme Braga Araujo, Federal University of Recôncavo da Bahia

Guilherme B. Araújo is a Professor at Federal University of Recôncavo da Bahia (UFRB) and PhD Student at the Federal University of Bahia (UFBA). He holds Bachelor in Informatics (2011) and Master in Computer Science (2014), both at Pontifical Catholic University of Minas Gerais (PUC-Minas). His current research interests include Vehicular Networks, Internet of Things, Cloud Computing, Smart Cities and Future Internet Architectures.

Leobino Nascimento Sampaio, Federal University of Bahia

Prof. Leobino N. Sampaio is an associate Professor in the Computer Science Department at Federal University of Bahia (UFBA). He holds Bachelors in Computer Science from Salvador University (UNIFACS) awarded in 1996, and Master Science from Salvador University (UNIFACS) awarded in 2002 and Ph.D. in Computer Science by Federal University of Pernambuco (UFPE) awarded in 2011. He has a large experience in computer networks, in particular, network measurements and performance evaluation. Currently, Dr. Sampaio is researcher of the Group of Algorithms and Distributed Computing (GAUDI) and head of the infrastructure and Systems for Networks and Telecom (INSERT), member and assistant coordinator of the RNP’s Technical Committee on Network Monitoring (CT-Mon), member of the Brazilian Computer Society (SBC), and member of the Steering Committee of the Network of Experimentation in the Future of the Internet between Brazil and Europe (FIBRE). He is reviewer of international journals, such as IEEE Communication Magazine, Computer Networks (1999), the IEEE eTransactions on Network and Service Management, IEEE Wireless Communications Magazine, and the IEEE Transactions on Network and Service Management. His research interests include Information-Centric Networking (ICN), in particular, the NDN Architecture, applied to mobile scenarios, such as VANETs, FANETs, and IoT. He is also interested in Future Internet Architectures, such as Software-Defined Networking (SDN) and new network paradigms and solutions, e.g., Tactful Networking and Blockchains.

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Published

2021-04-26

How to Cite

Araujo, G. B., & Sampaio, L. N. (2021). An Intelligent Edge-Traffic Routing Architecture for Vehicular Data-Mule Services. IEEE Latin America Transactions, 19(11), 1976–1984. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/4891

Issue

Vol. 19 No. 11 (2021): Ordinary Issue

Section

Articles