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Development of Smart Sensor for IoT Based Environmental Data Analysis Through Edge Computing
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DOI：10.1007/978-3-031-10551-7_1.png)
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Internet of Things (IoT) revolutionizes our world with billions of sensors and actuators having ubiquitous sensing abilities which offers shared information to develop a smart environment around us. The proliferation of rich cloud services has introduced an efficient computing technique, edge computing, where processing the IoT data has been carried out at close to the source or edge of the network. Edge computing is advantageous for large volume of data as it addresses the concerns of response time, battery life constraint, band-width, network cost saving, as well as safety and privacy. This paper discusses the implementation of smart IoT indoor environmental sensor using WiFi enabled microcontroller node, streaming the telemetry data to cloud through Raspberry Pi based MQTT broker and analyzing the data through Edge Server and re-duce Publisher-Subscriber (pub-sub) costs by approximately 50% for Google Cloud Platform (GCP) by reducing telemetry data.
Keyword:
IoT
Smart sensor
MQTT
Edge
Pub/Sub
Raspberry Pi
ESP32
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