The rise in popularity of mobile devices has been made possibledue to advances in processing power and the miniaturization ofmodern processors. Mobile devices are often embedded systemswith limited resources such as battery, processing power, and memory,which impact the user experience. These devices located atthe edge of the network can also generate large amounts of data,which makes it difficult to centralize the data in the cloud. To addressthe scalability issues, fog computing is used to intermediatestorage and communication services between cloud computing andend devices, allowing for decentralized and scalable data. In fogcomputing, a message server may be used to distribute informationthrough one or more communication channels, reducing computationalresources. To transmit messages, it is necessary to choosea communication protocol, and it is important to consider the limitationsof mobile devices when analyzing the behavior of fogcommunication protocols. This paper evaluates the performanceof three fog computing protocols: MQTT, AMQP, and STOMP. Resultsindicate that MQTT achieves the best performance in termsof power and processing consumption, AMQP has lower memoryusage, and STOMP has a shorter round trip time for each message.
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