Adjusting Group Communication in Dense Internet of Things Networks with Heterogeneous Energy Sources

  • Renato Mota UFPA
  • André Riker UFPA
  • Denis Rosário UFPA

Resumo


Internet-of-Things (IoT) environments will have a large number of nodes organized into groups to collect and to disseminate data. In this sense, one of the main challenges in IoT environments is to dynamically manage communication characteristics of IoT devices to decrease congestion, traffic collisions, and excessive data collection, as well as to balance the use of energy resources. In this paper, we introduce an energy-efficient and reliable Self Adjusting group communication of dense IoT Network, called SADIN. It configures the communication settings to ensure a dynamic control of IoT devices considering a comprehensive set of aspects, i.e., traffic loss, event relevance, amount of nodes with renewable batteries, and the number of observers. Specifically, SADIN changes the communication interval, the number of data producers, the reliability level of the network. Extensive evaluation results show that SADIN improves system performance in terms of message loss, energy consumption, and reliability compared to state-of-the-art protocol.

Palavras-chave: Group Communication, Dense Internet of Things, Heterogeneous Energy Sources

Referências

Betzler, A., Gomez, C., Demirkol, I., and Paradells, J. (2016). Coap congestion control for the internet of things. IEEE Communications Magazine, 54(7):154–160.

Cerwall, P., Jonsson, P., Möller, R., Bävertoft, S., Carson, S., and Godor, I. (2015). Eric- sson mobility report. On the Pulse of the Networked Society. Hg. v. Ericsson.

Correia, N., Sacramento, D., and Schütz, G. (2016). Dynamic aggregation and scheduling in coap/observe-based wireless sensor networks. IEEE Internet of Things Journal, 3(6):923–936

Costa, D. G. and Guedes, L. A. (2013). Exploiting the sensing relevancies of source nodes for optimizations in visual sensor networks. Multimedia tools and applications, 64(3):549–579.

Islam, H. M. A., Lagutin, D., Ylä-Jääski, A., Fotiou, N., and Gurtov, A. (2019). Trans- parent coap services to iot endpoints through icn operator networks. Sensors, 19(6).

Jaramillo, R., Quintero, A., and Chamberland, S. (2015). Energy-efficient mac protocol for wireless body area networks. In 2015 International Conference and Workshop on Computing and Communication (IEMCON), pages 1–5.

Jarvinen, I., Raitahila, I., Cao, Z., and Kojo, M. (2018). Fasor retransmission timeout and congestion control mechanism for coap. In 2018 IEEE Global Communications Conference (GLOBECOM), pages 1–7.

Orsino, A., Araniti, G., Militano, L., Alonso-Zarate, J., Molinaro, A., and Iera, A. (2016). Energy efficient iot data collection in smart cities exploiting d2d communications.

Rani, S., Talwar, R., Malhotra, J., Ahmed, S. H., Sarkar, M., and Song, H. (2015). A novel scheme for an energy efficient internet of things based on wireless sensor networks.

Riker, A., Curado, M., and Monteiro, E. (2017). Neutral operation of the minimum energy node in energy-harvesting environments. In 2017 IEEE Symposium on Computers and Communications (ISCC), pages 477–482.

Riker, A., Fonseca, C. M., Curado, M., and Monteiro, E. (2018). Energy-efficient multi- group communication. Transactions on Emerging Telecommunications Technologies, 29(3):e3232.

Sekhar, S. (2014). Performance evaluation of advanced congestion control mechanisms for coap. Sensors, 2015, 15.
Publicado
12/07/2019
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MOTA, Renato; RIKER, André ; ROSÁRIO, Denis . Adjusting Group Communication in Dense Internet of Things Networks with Heterogeneous Energy Sources. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO UBÍQUA E PERVASIVA (SBCUP), 11. , 2019, Belém. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2019 . ISSN 2595-6183. DOI: https://doi.org/10.5753/sbcup.2019.6594.