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ThinkMind // UBICOMM 2022, The Sixteenth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies // View article ubicomm_2022_1_20_10009
A Fog Computing Application Using Knowledge-Based Collaborative Sensors -Noise Annoyance Monitoring and Control of a Sun Tracker Use Cases
 Authors:
Joaquin Canada-Bago
Jose-Angel Fernandez-Prieto
Ulrich Birkel Keywords: Knowledge-based sensors; fog computing Abstract:
Message Queuing Telemetry Transport (MQTT) and Constrained Application Protocol (CoAP) protocols are widely used allowing communication between Internet of Things (IoT) devices and platforms as well as device-to-device communication. However, when they are used in real applications based on Cloud Computing, different problems are observed, such as data loss, lack of security or long communication times between sensors. In this sense, Fog Computing can improve the performance of these applications. The objective of this work is to propose an application based on Fog Computing using knowledge-based devices for two real scenarios: a) control of a solar tracker and b) noise annoyance monitoring. Several experiments have been carried out in order to verify if the application and MQTT and CoAP protocols are appropriate in the system communications of both use cases. The results show that, in the case of noise annoyance monitoring application, this architecture allows reducing the errors in a satisfactory way. However, in control applications, where a communication time between sensors of less than 10 ms is required, the use of these protocols may not be adequate. For this case, an additional client-server software to the Fog Computing system has been developed to be executed in the IoT devices. Although it has lower performance than the widely used protocols, it allows the transmission time to be reduced, and can be satisfactorily applied to the control of systems, such as the control of a sun tracker. Pages: 7 to 10 Copyright: Copyright (c) IARIA, 2022 Publication date: November 13, 2022 Published in: conference ISSN: 2308-4278 ISBN: 978-1-61208-989-8 Location: Valencia, Spain Dates: from November 13, 2022 to November 17, 2022
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