Abstract
This chapter reports a prototype implementation of an IoT-based urban infrastructure system for smart cities. More specifically, we propose a real-time sensor network that uses the IEEE 802.15.4 standard for monitoring the available spaces in three car parking areas at City University of Autonomous University of Puebla in Mexico. The first step consists of implementing a local server and a database over a Galileo2 development board from Intel using Linux. Then, a wireless sensor network is implemented using SHARP proximity sensors and XBee modules with the 802.15.4 standard to 2.4 GHz for WSN training. The data, in frame format, are sent to the Intel Galileo2 development board, in which free software is used to install a suitable server and database for the frames of nodes, which represent each car park. Finally, a web page, which is integrated into the same Galileo board, is designed for monitoring the automatic updating of the data from any device that belongs to an external network. In this way, the architecture of the IoT is analyzed by considering 3 layers, namely, Application, Network and Perception, and a 5-layer model: Business, Application, Service Management, Object Abstraction and Objects. This analysis is performed with the purpose of using the compatibility among multiple technologies to fulfill the IoT objective. This research will not only help analyze and validate theoretical results but also enable IoT applications in real-world case studies in developing countries by using affordable hardware and free software.
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Tamariz-Flores, E.I., García-Juárez, K.A., Torrealba-Meléndez, R., Muñoz-Pacheco, J.M., León-Chávez, M.Á. (2018). An IoT-Based Urban Infrastructure System for Smart Cities. In: Maheswaran, M., Badidi, E. (eds) Handbook of Smart Cities. Springer, Cham. https://doi.org/10.1007/978-3-319-97271-8_6
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