A Systematic Mapping of IoT Sensor Networks for VANETs supported by Edge Computing for Road Blind Spots
Resumo
As part of a technological evolution, the Internet of Things - (IoT) has been showing changes both in terms of hardware and software. In particular, IoT protocols have brought some differentiated changes by acting particularly on devices with low processing power, low energy consumption and little RAM, these restrictions must be carefully evaluated to guarantee aspects of performance and functionality within the characteristics of this environment. In this way, the present work presents a systematic mapping of literature about the use of sensors to support an anticollision system in VANET (Vehicular Ad-hoc Networks), V2V (vehicle to Vehicle) and V2I (Vehicle to Infrastructure) networks. Through this mapping we also evaluate the use of Edge computing architecture, in order to produce lower latency and consequently a more adequate response time to the needs of the scenario.
Palavras-chave:
Internet of Things (IoT), IoT Protocols, QoS (Quality of Service)
Referências
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Petersen, Kai, et al. “Systematic mapping studies in software engineering.” 12th International Conference on Evaluation and Assessment in Software Engineering (EASE) 12. 2008.
Por agência CNT Transporte Atual. CNT lança painel sobre acidentes rodoviários; Portal CNT, Brasil, 19 de set. 2019. Disponível em: [link]. Acesso em: 22 fev. 2021.
Czerwonka, Mariana. Comportamentos de risco podem tornar o trânsito a 5ª causa de morte. Portal do Trânsito, Rio de Janeiro, 27 jan. 2015. Disponível em: [link]. Acesso em: 22 fev. 2021.
Garcia, Thauane Moura, Maicson Gabriel Gomes da Silva, and Rogério Patrício Chagas do Nascimento. “Mapeamento sistemático: Adoção de Padrões de Interoperabilidade no Governo.” Revista Rios 12.18 (2018): 207-221.
Dias Jr, Jorge, Oliveira, Joyce, and Meira, Silvio. (2013). Estudo Empírico sobre Adoção de SOA: Um Mapeamento Sistemático da Literatura. 10.5753/sbqs.2013.15286.
Yu, Bo, et al. “Examination and prediction of drivers’ reaction when provided with V2I communication-based intersection maneuver strategies.” Transportation Research Part C: Emerging Technologies 106 (2019): 17-28.
El Zouka, Hesham A. “An Efficient and Secure Vehicular Networks Based on IoT and Cloud Computing.” SN Computer Science 3.3 (2022): 1-8.
Almazroi, Abdulwahab Ali, and Muhammad Ahsan Qureshi. “Dynamic Deployment of Road Side Units for Reliable Connectivity in Internet of Vehicles.” International Journal of Advanced Computer Science and Applications 13.1 (2022).
Saleem, Yasir, Nathalie Mitton, and Valeria Loscri. “DIVINE: Data offloading in vehicular networks with QoS provisioning.” Ad Hoc Networks 123 (2021): 102665.
Deng, Ketao. “Anomaly detection of highway vehicle trajectory under the Internet of things converged with 5g technology.” Complexity 2021 (2021).
Huang, Chung-Ming, et al. “V2V data offloading for cellular network based on the software defined network (SDN) inside mobile edge computing (MEC) architecture.” IEEE Access 6 (2018): 17741-17755.
Choi, D., et al. “Machine Learning-Based Vehicle Trajectory Prediction Using V2V Communications and On-Board Sensors. Electronics 2021, 10, 420.” (2021).
Maglogiannis, Vasilis, et al. “Experimental V2X Evaluation for C-V2X and ITS-G5 Technologies in a Real-Life Highway Environment.” IEEE Transactions on Network and Service Management (2021).
Torres, Ana Paula Alves, Claudio Bastos Da Silva, and Horácio Tertuliano Filho. “An Experimental Study on the Use of LoRa Technology in Vehicle Communication.” IEEE Access 9 (2021): 26633-26640.
Mehmood, Amjad, et al. “ANTSC: An intelligent Naïve Bayesian probabilistic estimation practice for traffic flow to form stable clustering in VANET.” IEEE Access 6 (2017): 4452-4461.
Golestan, Keyvan, et al. “Vehicle localization in vanets using data fusion and v2v communication.” Proceedings of the second ACM international symposium on Design and analysis of intelligent vehicular networks and applications. 2012.
Chen, Mu-Yen, Min-Hsuan Fan, and Li-Xiang Huang. “AIbased vehicular network toward 6G and IoT: Deep learning approaches.” ACM Transactions on Management Information System (TMIS) 13.1 (2021): 1-12.
Abdel Hakeem, Shimaa A., Anar A. Hady, and Hyung-Won Kim. “Current and future developments to improve 5GNewRadio performance in vehicle-to-everything communications.” Telecommunication Systems 75.3 (2020): 331-353.
Abbas, Fakhar, et al. “An efficient cluster based resource management scheme and its performance analysis for V2X networks.” IEEE Access 8 (2020): 87071-87082.
Xu, Xiaolong, et al. “A computation offloading method for edge computing with vehicle-to-everything.” IEEE Access 7 (2019): 131068-131077.
[link], acessado em 22 de agosto de 2022.
Petersen, Kai, et al. “Systematic mapping studies in software engineering.” 12th International Conference on Evaluation and Assessment in Software Engineering (EASE) 12. 2008.
Por agência CNT Transporte Atual. CNT lança painel sobre acidentes rodoviários; Portal CNT, Brasil, 19 de set. 2019. Disponível em: [link]. Acesso em: 22 fev. 2021.
Czerwonka, Mariana. Comportamentos de risco podem tornar o trânsito a 5ª causa de morte. Portal do Trânsito, Rio de Janeiro, 27 jan. 2015. Disponível em: [link]. Acesso em: 22 fev. 2021.
Garcia, Thauane Moura, Maicson Gabriel Gomes da Silva, and Rogério Patrício Chagas do Nascimento. “Mapeamento sistemático: Adoção de Padrões de Interoperabilidade no Governo.” Revista Rios 12.18 (2018): 207-221.
Dias Jr, Jorge, Oliveira, Joyce, and Meira, Silvio. (2013). Estudo Empírico sobre Adoção de SOA: Um Mapeamento Sistemático da Literatura. 10.5753/sbqs.2013.15286.
Yu, Bo, et al. “Examination and prediction of drivers’ reaction when provided with V2I communication-based intersection maneuver strategies.” Transportation Research Part C: Emerging Technologies 106 (2019): 17-28.
El Zouka, Hesham A. “An Efficient and Secure Vehicular Networks Based on IoT and Cloud Computing.” SN Computer Science 3.3 (2022): 1-8.
Almazroi, Abdulwahab Ali, and Muhammad Ahsan Qureshi. “Dynamic Deployment of Road Side Units for Reliable Connectivity in Internet of Vehicles.” International Journal of Advanced Computer Science and Applications 13.1 (2022).
Saleem, Yasir, Nathalie Mitton, and Valeria Loscri. “DIVINE: Data offloading in vehicular networks with QoS provisioning.” Ad Hoc Networks 123 (2021): 102665.
Deng, Ketao. “Anomaly detection of highway vehicle trajectory under the Internet of things converged with 5g technology.” Complexity 2021 (2021).
Huang, Chung-Ming, et al. “V2V data offloading for cellular network based on the software defined network (SDN) inside mobile edge computing (MEC) architecture.” IEEE Access 6 (2018): 17741-17755.
Choi, D., et al. “Machine Learning-Based Vehicle Trajectory Prediction Using V2V Communications and On-Board Sensors. Electronics 2021, 10, 420.” (2021).
Maglogiannis, Vasilis, et al. “Experimental V2X Evaluation for C-V2X and ITS-G5 Technologies in a Real-Life Highway Environment.” IEEE Transactions on Network and Service Management (2021).
Torres, Ana Paula Alves, Claudio Bastos Da Silva, and Horácio Tertuliano Filho. “An Experimental Study on the Use of LoRa Technology in Vehicle Communication.” IEEE Access 9 (2021): 26633-26640.
Mehmood, Amjad, et al. “ANTSC: An intelligent Naïve Bayesian probabilistic estimation practice for traffic flow to form stable clustering in VANET.” IEEE Access 6 (2017): 4452-4461.
Golestan, Keyvan, et al. “Vehicle localization in vanets using data fusion and v2v communication.” Proceedings of the second ACM international symposium on Design and analysis of intelligent vehicular networks and applications. 2012.
Chen, Mu-Yen, Min-Hsuan Fan, and Li-Xiang Huang. “AIbased vehicular network toward 6G and IoT: Deep learning approaches.” ACM Transactions on Management Information System (TMIS) 13.1 (2021): 1-12.
Abdel Hakeem, Shimaa A., Anar A. Hady, and Hyung-Won Kim. “Current and future developments to improve 5GNewRadio performance in vehicle-to-everything communications.” Telecommunication Systems 75.3 (2020): 331-353.
Abbas, Fakhar, et al. “An efficient cluster based resource management scheme and its performance analysis for V2X networks.” IEEE Access 8 (2020): 87071-87082.
Xu, Xiaolong, et al. “A computation offloading method for edge computing with vehicle-to-everything.” IEEE Access 7 (2019): 131068-131077.
[link], acessado em 22 de agosto de 2022.
Publicado
18/10/2023
Como Citar
MENEZES, Sandro Andrade Monteiro; TRINDADE, Eric Lisboa; MATOS JUNIOR, Rubens de Souza; MACHADO, Antonio Aliberte de Andrade; NASCIMENTO, Bruno Santos; PORFIRIO, Iara Angelino; CRUZ, Cleide Ane Barbosa da; SANTOS, Marcos Pereira dos.
A Systematic Mapping of IoT Sensor Networks for VANETs supported by Edge Computing for Road Blind Spots. In: CONGRESSO LATINO-AMERICANO DE SOFTWARE LIVRE E TECNOLOGIAS ABERTAS (LATINOWARE), 20. , 2023, Foz do Iguaçu/PR.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 62-69.
DOI: https://doi.org/10.5753/latinoware.2023.236473.
