GERENCIAMENTO ADAPTÁVEL DE DISPOSITIVOS IOT HETEROGÊNEOS EM CASAS INTELIGENTES

Autores/as

DOI:

https://doi.org/10.22481/recic.v7i1.16955

Palabras clave:

Ambiente Inteligentes, IOT, Smart homes

Resumen

Nos últimos anos, as Casas Inteligentes (SHs) tornaram-se uma realidade devido à popularização da Internet das Coisas (IoT). Este tipo de ambiente é composto por vários dispositivos heterogêneos sem fio, formando uma rede complexa para ser gerenciada. Portanto, uma SH necessita de uma abordagem capaz de abstrair a comunicação com esses dispositivos de IoT. Dentro desse contexto, este artigo propõe um middleware para abstração da comunicação dos dispositivos IoT em casas inteligentes. O middleware proposto permite a comunicação com os dispositivos através de uma interface de alto nível, possibilitando o gerenciamento com os dispositivos através de uma interface genérica. Os experimentos realizados em um cenário real sugerem que o middleware proposto é escalável e permite o controle dos dispositivos de IoT de forma genérica.

Descargas

Los datos de descargas todavía no están disponibles.

Citas

P. Pradeep, S. Krishnamoorthy, and A. V. Vasilakos, “A holistic approach

to a context-aware iot ecosystem with adaptive ubiquitous middleware,”

Pervasive and Mobile Computing, vol. 72, p. 101342, 2021. DOI: https://doi.org/10.1016/j.pmcj.2021.101342

R. L. Gomes, L. F. Bittencourt, and E. R. M. Madeira, “A similarity

model for virtual networks negotiation,” in Proceedings of the 29th

Annual ACM Symposium on Applied Computing, ser. SAC ’14. New

York, NY, USA: Association for Computing Machinery, 2014, p.

–494. [Online]. Available: https://doi.org/10.1145/2554850.2554963 DOI: https://doi.org/10.1145/2554850.2554963

A. L. Portela, R. A. Menezes, W. L. Costa, M. M. Silveira, L. F.

Bittecnourt, and R. L. Gomes, “Detection of iot devices and network

anomalies based on anonymized network traffic,” in NOMS 2023-2023

IEEE/IFIP Network Operations and Management Symposium, 2023, pp.

–6.

K. L. D. Almeida, L. Lessa, A. B. S. Peixoto, R. L. Gomes,

and J. Celestino, “Kidney Failure Detection Using Machine Learning

Techniques,” in Proc. of the 8th International Workshop on ADVANCEs

in ICT Infrastructures and Services (ADVANCE 2020), ser. Proc. of the

th International Workshop on ADVANCEs in ICT Infrastructures and

Services (ADVANCE 2020), F. M. Mena, U. A. D. Yucatan, Mexico,

E. Duarte, F. U. of Parana, and Brazil, Eds. Canc´un, Mexico: Candy

E. Sansores, Universidad del Caribe, Mexico, Nazim Agoulmine, IBISC

Lab, University of Evry - Paris-Saclay University, Jan. 2020, pp. 1–8.

[Online]. Available: https://hal.science/hal-02495264

M. S. Souza, S. E. S. B. Ribeiro, V. C. Lima, F. J. Cardoso, and R. L.

Gomes, “Combining regular expressions and machine learning for sql

injection detection in urban computing,” Journal of Internet Services and

Applications, vol. 15, no. 1, p. 103–111, Jul. 2024. [Online]. Available:

https://journals-sol.sbc.org.br/index.php/jisa/article/view/3799

M. C. Ferreira, S. E. Ribeiro, F. V. Nobre, M. L. Linhares, T. P. Ara´ujo,

and R. L. Gomes, “Mitigating measurement failures in throughput

performance forecasting,” in 2024 20th International Conference on

Network and Service Management (CNSM), 2024, pp. 1–7.

I. Pimenta, D. Silva, E. Moura, M. Silveira, and R. L. Gomes, “Impact

of data anonymization in machine learning models,” in Proceedings

of the 13th Latin-American Symposium on Dependable and Secure

Computing, ser. LADC ’24. New York, NY, USA: Association

for Computing Machinery, 2024, p. 188–191. [Online]. Available:

https://doi.org/10.1145/3697090.3699865 DOI: https://doi.org/10.1145/3697090.3699865

M. Silveira, D. Santos, M. Souza, D. Silva, M. Mesquita, J. Neto, and

R. L. Gome, “An anonymization service for privacy in data mining,”

in Proceedings of the 12th Latin-American Symposium on Dependable

and Secure Computing, ser. LADC ’23. New York, NY, USA:

Association for Computing Machinery, 2023, p. 214–219. [Online].

Available: https://doi.org/10.1145/3615366.3625074 DOI: https://doi.org/10.1145/3615366.3625074

A. L. C. Portela, S. E. S. B. Ribeiro, R. A. Menezes, T. P. d. Ara´ujo,

and R. L. Gomes, “T-for: An adaptable forecasting model for throughput

performance,” IEEE Transactions on Network and Service Management,

vol. 21, no. 3, pp. 2791–2801, 2024. DOI: https://doi.org/10.1109/TNSM.2024.3349701

M. Silva, S. Ribeiro, V. Carvalho, F. Cardoso, and R. L. Gomes,

“Scalable detection of sql injection in cyber physical systems,” in

Proceedings of the 12th Latin-American Symposium on Dependable

and Secure Computing, ser. LADC ’23. New York, NY, USA:

Association for Computing Machinery, 2023, p. 220–225. [Online].

Available: https://doi.org/10.1145/3615366.3625075 DOI: https://doi.org/10.1145/3615366.3625075

G. Bouloukakis, K. Benson, L. Scalzotto, P. Bellavista, C. Grant,

V. Issarny, S. Mehrotra, I. Moscholios, and N. Venkatasubramanian,

“Priodex: a data exchange middleware for efficient event prioritization in

sdn-based iot systems,” ACM Transactions on Internet of Things, vol. 2,

no. 3, pp. 1–32, 2021.

M. A. Abbasi, Z. A. Memon, N. M. Durrani, W. Haider, K. Laeeq,

and G. A. Mallah, “A multi-layer trust-based middleware framework

for handling interoperability issues in heterogeneous iots,” Cluster

Computing, vol. 24, no. 3, pp. 2133–2160, 2021. DOI: https://doi.org/10.1007/s10586-021-03243-1

S. D. T. Kelly, N. K. Suryadevara, and S. C. Mukhopadhyay, “Towards

the implementation of iot for environmental condition monitoring in

homes,” IEEE Sensors Journal, vol. 13, no. 10, pp. 3846–3853, Oct

D. Chilca˜n´an, P. Navas, and M. Escobar, “Virtual assistant for iot

process management, using a middleware,” in Proceedings of the 2018

Nd International Conference on Algorithms, Computing and Systems,

ser. ICACS ’18. New York, NY, USA: ACM, 2018, pp. 209–213.

[Online]. Available: http://doi.acm.org/10.1145/3242840.3242875

K. E. Benson, G. Wang, N. Venkatasubramanian, and Y. Kim, “Ride:

A resilient iot data exchange middleware leveraging sdn and edge

cloud resources,” in 2018 IEEE/ACM Third International Conference

on Internet-of-Things Design and Implementation (IoTDI), April 2018,

pp. 72–83.

M. A. da Cruz, J. J. Rodrigues, P. Lorenz, V. V. Korotaev, and V. H. C.

de Albuquerque, “In. iot—a new middleware for internet of things,”

IEEE Internet of Things Journal, vol. 8, no. 10, pp. 7902–7911, 2020. DOI: https://doi.org/10.1109/JIOT.2020.3041699

O. Anya and H. Tawfik, Toward a Cognitive Middleware for Context-

Aware Interaction in Smart Homes. Cham: Springer International

Publishing, 2018, pp. 41–54.

P. P. Gaikwad, J. P. Gabhane, and S. S. Golait, “A survey based on

smart homes system using internet-of-things,” in 2015 International

Conference on Computation of Power, Energy, Information and Com-

munication (ICCPEIC), April 2015, pp. 0330–0335.

W. Zhang, Y. Meng, Y. Liu, X. Zhang, Y. Zhang, and H. Zhu, “Homonit:

Monitoring smart home apps from encrypted traffic,” in Proceedings of

the 2018 ACM SIGSAC Conference on Computer and Communications

Security, ser. CCS ’18. New York, NY, USA: ACM, 2018, pp. 1074–

[Online]. Available: http://doi.acm.org/10.1145/3243734.3243820

T. K. Hui, R. S. Sherratt, and D. D. S´anchez, “Major requirements

for building smart homes in smart cities based on internet of things

technologies,” Future Generation Computer Systems, vol. 76, pp. 358–

, 2017.

M. M. Silveira, A. L. Portela, R. A. Menezes, M. S. Souza, D. S.

Silva, M. C. Mesquita, and R. L. Gomes, “Data protection based on

searchable encryption and anonymization techniques,” in NOMS 2023-

IEEE/IFIP Network Operations and Management Symposium,

, pp. 1–5.

Publicado

2025-12-30

Cómo citar

PIMENTA, Ivo; BRAGA NETO, Antonio; MOURA, Evellin; FREITAS, Kaynan; LEE, Marcello; GOMES, Rafael. GERENCIAMENTO ADAPTÁVEL DE DISPOSITIVOS IOT HETEROGÊNEOS EM CASAS INTELIGENTES. Revista de Ciência da Computação, [S. l.], v. 7, n. 1, p. 26–32, 2025. DOI: 10.22481/recic.v7i1.16955. Disponível em: https://periodicos2.uesb.br/recic/article/view/16955. Acesso em: 21 may. 2026.