GERENCIAMENTO ADAPTÁVEL DE DISPOSITIVOS IOT HETEROGÊNEOS EM CASAS INTELIGENTES
DOI:
https://doi.org/10.22481/recic.v7i1.16955Keywords:
Ambiente Inteligentes, IOT, Smart homesAbstract
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.
Downloads
References
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.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Journal of Computer Science

This work is licensed under a Creative Commons Attribution 4.0 International License.