Integration of Neutrosophic and Priority-scheduling in MQTT Protocol

Neutrosophics is a theory of uncertainty that allows for the representation of truth, falsity, and indeterminacy values. This can be useful for combining with MQTT and IoT protocols, as it can allow for a more nuanced representation of the state of the system. A Neutrosophic back-off algorithm could be used to calculate the sending rate for each MQTT publisher. This would take into account the truth, falsity, and indeterminacy values of factors such as the publisher's history of sending suspicious or fake messages, the current network load, and the priority of the publisher's messages. Similarly, a Neutrosophic priority-scheduling algorithm is designed to classify MQTT publishers as either as high priority or low priority. This would take into account the truth, falsity, and indeterminacy values of factors such as the publisher's message type, the publisher's history of sending important messages, and the publisher's current bandwidth usage. This paper proposes a Neutrosophic back off and priority scheduling algorithm for MQTT and IoT protocols. The proposed algorithms are evaluated using a simulation environment and the results show that they can improve the performance, reliability, and security of MQTT and IoT protocols.