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A Proposal for IoT Dynamic Routes Selection Based on Contextual Information

Programa de Pós-Graduação em Informática Aplicada (PPGIA), University of Fortaleza (UNIFOR), Av. Washington Soares, 1321, Edson Queiroz, 60.811-905 Fortaleza-CE, Brazil
Instituto de Telecomunicações, Av. Rovisco Pais, 1, 1049-001 Lisboa, Portugal
Department of Computer Science, University Estacio of Sá, Av. Expedicionários, 790, São João, 64.046-700 Teresina-PI, Brazil
National Institute of Telecommunications (Inatel), Av. João de Camargo, 510-Centro, 37540-000 Santa Rita do Sapucaí-MG, Brazil
International Laboratory “Technosphere Safety”, ITMO University, 49 Kronverksky Pr., St. Petersburg 197101, Russia
Department of Computing, Federal University of Piauí (UFPI), Department of Computing, 64.049-550 Teresina-PI, Brazil
Departamento de Informática, Universidade da Beira Interior, Rua Marquês D’Ávila e Bolama, 6201-001 Covilhã, Portugal
Department of Education, Federal Institute of Maranhão (IFMA), Av. Getúlio Vargas, 4, Monte Castelo, 65030-005 São Luiz-MA, Brazil
Author to whom correspondence should be addressed.
Sensors 2018, 18(2), 353;
Received: 5 December 2017 / Revised: 19 January 2018 / Accepted: 23 January 2018 / Published: 26 January 2018
(This article belongs to the Special Issue Sensor Networks for Collaborative and Secure Internet of Things)
The Internet of Things (IoT) is based on interconnection of intelligent and addressable devices, allowing their autonomy and proactive behavior with Internet connectivity. Data dissemination in IoT usually depends on the application and requires context-aware routing protocols that must include auto-configuration features (which adapt the behavior of the network at runtime, based on context information). This paper proposes an approach for IoT route selection using fuzzy logic in order to attain the requirements of specific applications. In this case, fuzzy logic is used to translate in math terms the imprecise information expressed by a set of linguistic rules. For this purpose, four Objective Functions (OFs) are proposed for the Routing Protocol for Low Power and Loss Networks (RPL); such OFs are dynamically selected based on context information. The aforementioned OFs are generated from the fusion of the following metrics: Expected Transmission Count (ETX), Number of Hops (NH) and Energy Consumed (EC). The experiments performed through simulation, associated with the statistical data analysis, conclude that this proposal provides high reliability by successfully delivering nearly 100% of data packets, low delay for data delivery and increase in QoS. In addition, an 30% improvement is attained in the network life time when using one of proposed objective function, keeping the devices alive for longer duration. View Full-Text
Keywords: Internet of Things; routing; 6LowPAN; context-aware; objective function; fuzzy system Internet of Things; routing; 6LowPAN; context-aware; objective function; fuzzy system
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MDPI and ACS Style

Araújo, H.D.S.; Filho, R.H.; Rodrigues, J.J.P.C.; Rabelo, R.D.A.L.; Sousa, N.D.C.; Filho, J.C.C.L.S.; Sobral, J.V.V. A Proposal for IoT Dynamic Routes Selection Based on Contextual Information. Sensors 2018, 18, 353.

AMA Style

Araújo HDS, Filho RH, Rodrigues JJPC, Rabelo RDAL, Sousa NDC, Filho JCCLS, Sobral JVV. A Proposal for IoT Dynamic Routes Selection Based on Contextual Information. Sensors. 2018; 18(2):353.

Chicago/Turabian Style

Araújo, Harilton D.S.; Filho, Raimir H.; Rodrigues, Joel J.P.C.; Rabelo, Ricardo D.A.L.; Sousa, Natanael D.C.; Filho, José C.C.L.S.; Sobral, José V.V. 2018. "A Proposal for IoT Dynamic Routes Selection Based on Contextual Information" Sensors 18, no. 2: 353.

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