Low-Cost Embedded System Applications for Smart Cities
The Internet of Things (IoT) represents a transformative technology that allows interconnected devices to exchange data over the Internet, enabling automation and real-time decision making in a variety of areas. A key aspect of the success of the IoT lies in its integration with low-resource hardwar...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Big Data and Cognitive Computing |
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| Online Access: | https://www.mdpi.com/2504-2289/9/2/19 |
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| author | Victoria Alejandra Salazar Herrera Hugo Puertas de Araújo César Giacomini Penteado Mario Gazziro João Paulo Carmo |
| author_facet | Victoria Alejandra Salazar Herrera Hugo Puertas de Araújo César Giacomini Penteado Mario Gazziro João Paulo Carmo |
| author_sort | Victoria Alejandra Salazar Herrera |
| collection | DOAJ |
| description | The Internet of Things (IoT) represents a transformative technology that allows interconnected devices to exchange data over the Internet, enabling automation and real-time decision making in a variety of areas. A key aspect of the success of the IoT lies in its integration with low-resource hardware, such as low-cost microprocessors and microcontrollers. These devices, which are affordable and energy efficient, are capable of handling basic tasks such as sensing, processing, and data transmission. Their low cost makes them ideal for IoT applications in low-income communities where the government is often absent. This review aims to present some applications—such as a flood detection system; a monitoring system for analog and digital sensors; an air quality measurement system; a mesh video network for community surveillance; and a real-time fleet management system—that use low-cost hardware such as ESP32, Raspberry Pi, and Arduino, and the MQTT protocol used to implement low-cost monitoring systems applied to improve the quality of life of people in small cities or communities. |
| format | Article |
| id | doaj-art-c8f2fb17d06e4a35ab7b2dddd8e4e9b2 |
| institution | DOAJ |
| issn | 2504-2289 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Big Data and Cognitive Computing |
| spelling | doaj-art-c8f2fb17d06e4a35ab7b2dddd8e4e9b22025-08-20T02:44:55ZengMDPI AGBig Data and Cognitive Computing2504-22892025-01-01921910.3390/bdcc9020019Low-Cost Embedded System Applications for Smart CitiesVictoria Alejandra Salazar Herrera0Hugo Puertas de Araújo1César Giacomini Penteado2Mario Gazziro3João Paulo Carmo4Department of Engineering and Social Sciences (CECS), Federal University of ABC (UFABC), Av. dos Estados, 5001, Santo André 09210-580, BrazilDepartment of Engineering and Social Sciences (CECS), Federal University of ABC (UFABC), Av. dos Estados, 5001, Santo André 09210-580, BrazilDepartment of Computer Science, University of Marília (UNIMAR), Avenida Hygino Muzzy Filho, 1001, Marília 17525-902, BrazilDepartment of Engineering and Social Sciences (CECS), Federal University of ABC (UFABC), Av. dos Estados, 5001, Santo André 09210-580, BrazilGroup of Metamaterials Microwaves and Optics (GMeta), Department of Electrical Engineering (SEL), University of São Paulo (USP), Avenida Trabalhador São-Carlense, Nr. 400, Parque Industrial Arnold Schimidt, São Carlos 13566-590, BrazilThe Internet of Things (IoT) represents a transformative technology that allows interconnected devices to exchange data over the Internet, enabling automation and real-time decision making in a variety of areas. A key aspect of the success of the IoT lies in its integration with low-resource hardware, such as low-cost microprocessors and microcontrollers. These devices, which are affordable and energy efficient, are capable of handling basic tasks such as sensing, processing, and data transmission. Their low cost makes them ideal for IoT applications in low-income communities where the government is often absent. This review aims to present some applications—such as a flood detection system; a monitoring system for analog and digital sensors; an air quality measurement system; a mesh video network for community surveillance; and a real-time fleet management system—that use low-cost hardware such as ESP32, Raspberry Pi, and Arduino, and the MQTT protocol used to implement low-cost monitoring systems applied to improve the quality of life of people in small cities or communities.https://www.mdpi.com/2504-2289/9/2/19Internet of Things—IoTsmart citieslow-end hardwaresocial applications |
| spellingShingle | Victoria Alejandra Salazar Herrera Hugo Puertas de Araújo César Giacomini Penteado Mario Gazziro João Paulo Carmo Low-Cost Embedded System Applications for Smart Cities Big Data and Cognitive Computing Internet of Things—IoT smart cities low-end hardware social applications |
| title | Low-Cost Embedded System Applications for Smart Cities |
| title_full | Low-Cost Embedded System Applications for Smart Cities |
| title_fullStr | Low-Cost Embedded System Applications for Smart Cities |
| title_full_unstemmed | Low-Cost Embedded System Applications for Smart Cities |
| title_short | Low-Cost Embedded System Applications for Smart Cities |
| title_sort | low cost embedded system applications for smart cities |
| topic | Internet of Things—IoT smart cities low-end hardware social applications |
| url | https://www.mdpi.com/2504-2289/9/2/19 |
| work_keys_str_mv | AT victoriaalejandrasalazarherrera lowcostembeddedsystemapplicationsforsmartcities AT hugopuertasdearaujo lowcostembeddedsystemapplicationsforsmartcities AT cesargiacominipenteado lowcostembeddedsystemapplicationsforsmartcities AT mariogazziro lowcostembeddedsystemapplicationsforsmartcities AT joaopaulocarmo lowcostembeddedsystemapplicationsforsmartcities |