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An IoT Group-Based Protocol for Smart City Interconnection

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 978))

Abstract

The evolution of the information and communication technologies (ICT) and the need to solve and improve some services in large cities such as environmental monitoring, health, traffic, etc., day by day, new sensors capable of taking parameters of the environment are developed. These sensors must be integrated into larger networks and, in turn, these networks must be integrated into a bigger network so that these sensors together can improve the efficiency and sustainability of cities. These cities equipped with sensors are known as Smart cities. This paper presents an architecture and communication protocol for interconnecting all these sensors and networks. The proposal is group-based architecture able to connect the different infrastructures that provide services to the smart cities. The proposed system is scalable and fault-tolerant. The paper also provides the mathematical model for this interconnection system. Finally, the system is simulated in different topologies to see its operation and performance. The results show that although the size of network increases the amount of generated traffic remains quite stable.

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Acknowledgement

This work has been partially supported by the “Ministerio de Economía y Competitividad” in the “Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia, Subprograma Estatal de Generación de Conocimiento” within the project under Grant TIN2017-84802-C2-1-P.

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Correspondence to Sandra Sendra .

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Lloret, J., Sendra, S., González, P.L., Parra, L. (2019). An IoT Group-Based Protocol for Smart City Interconnection. In: Nesmachnow, S., Hernández Callejo, L. (eds) Smart Cities. ICSC-CITIES 2018. Communications in Computer and Information Science, vol 978. Springer, Cham. https://doi.org/10.1007/978-3-030-12804-3_13

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  • DOI: https://doi.org/10.1007/978-3-030-12804-3_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12803-6

  • Online ISBN: 978-3-030-12804-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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