NoiseAware: System for Real-Time Noise Monitoring in Smart Cities
Resumo
The Internet of Things (IoT) is an emerging paradigm that combines several technologies. IoT provides the interconnection of physical devices for exchanging information among them and provides services to the users. The urban environment is susceptible to various kinds of noise from different sources. Therefore, a system is needed to monitor the urban environment’s noise level. NoiseAware is a noise monitoring system for smart cities. NoiseAware monitors the noise levels of a particular location and sends an alert to the competent bodies to operate on site when the level reaches the allowable threshold. According to the literature review conducted, we did not find any work related to noise monitoring that has systems integration, accords real-time requests, and uses more than one communication protocol. NoiseAware has considerable service availability (approximately 81%) for system users, and the load tests show it has relevant request capability.Referências
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Qin, Z. and Zhu, Y. (2016). Noisesense: A crowd sensing system for urban noise mapping service. In Parallel and Distributed Systems (ICPADS), 2016 IEEE 22nd International Conference on, pages 80–87. IEEE.
Vanitha, C., Sridhar, K., and Dhivakar, R. (2021). Automation of noise detection using internet of things. In 2021 6th International Conference on Inventive Computation Technologies (ICICT), pages 184–189.
Zappatore, M., Longo, A., and Bochicchio, M. A. (2016). Using mobile crowd sensing for noise monitoring in smart cities. In Computer and Energy Science (SpliTech), International Multidisciplinary Conference on, pages 1–6. IEEE.
Bikmetov, R., Raja, M. Y. A., and Sane, T. U. (2017). Infrastructure and applications of internet of things in smart grids: A survey. In 2017 North American Power Symposium (NAPS), pages 1–6.
Corotinschi, G. and Găitan, V. G. (2015). Smart cities become possible thanks to the internet of things. In 2015 19th International Conference on System Theory, Control and Computing (ICSTCC), pages 291–296.
Hachem, S., Mallet, V., Ventura, R., Pathak, A., Issarny, V., Raverdy, P.-G., and Bhatia, R. (2015). Monitoring noise pollution using the urban civics middleware. In Big Data Computing Service and Applications (BigDataService), 2015 IEEE First International Conference on, pages 52–61. IEEE.
Hong, Z.-Y., Qiu, Z.-P., Zeng, S.-L., Wang, S.-D., and Sandrine, M. (2017). Research on fusion encryption algorithm for internet of things monitoring equipment. In Pervasive Systems, Algorithms and Networks & 2017 11th International Conference on Frontier of Computer Science and Technology & 2017 Third International Symposium of Creative Computing (ISPAN-FCST-ISCC), 2017 14th International Symposium on, pages 425–429. IEEE.
Junaid, M., Shah, M. A., and Satti, I. A. (2017). A survey of internet of things, enabling technologies and protocols. In 2017 23rd International Conference on Automation and Computing (ICAC), pages 1–5.
Kang, B., Kim, S., Choi, M.-I., Cho, K., Jang, S., and Park, S. (2016). Analysis of types and importance of sensors in smart home services. In High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 2016 IEEE 18th International Conference on, pages 1388–1389. IEEE.
Lokhande, D. G. and Mohsin, S. A. (2017). Internet of things for ubiquitous smart home system. In 2017 1st International Conference on Intelligent Systems and Information Management (ICISIM), pages 314–320.
Marinov, M., Nikolov, D., Ganev, B., and Nikolov, G. (2017). Environmental noise monitoring and mapping. In Electronics Technology (ISSE), 2017 40th International Spring Seminar on, pages 1–7. IEEE.
Qin, Z. and Zhu, Y. (2016). Noisesense: A crowd sensing system for urban noise mapping service. In Parallel and Distributed Systems (ICPADS), 2016 IEEE 22nd International Conference on, pages 80–87. IEEE.
Vanitha, C., Sridhar, K., and Dhivakar, R. (2021). Automation of noise detection using internet of things. In 2021 6th International Conference on Inventive Computation Technologies (ICICT), pages 184–189.
Zappatore, M., Longo, A., and Bochicchio, M. A. (2016). Using mobile crowd sensing for noise monitoring in smart cities. In Computer and Energy Science (SpliTech), International Multidisciplinary Conference on, pages 1–6. IEEE.
Publicado
06/08/2023
Como Citar
MOREIRA NETO, Maurício; GOMES, Francisco; SILVESTRE, Vitória.
NoiseAware: System for Real-Time Noise Monitoring in Smart Cities. In: SEMINÁRIO INTEGRADO DE SOFTWARE E HARDWARE (SEMISH), 50. , 2023, João Pessoa/PB.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 226-235.
ISSN 2595-6205.
DOI: https://doi.org/10.5753/semish.2023.230580.
