Leveraging Hierarchical Asymmetry for Efficient Resource Discovery in Message Queuing Telemetry Transport

With the rapid growth of the Internet of Things, efficient resource discovery has become essential for effective resource management. Although Message Queuing Telemetry Transport is one of the most widely adopted IoT communication protocols, it lacks a native resource discovery mechanism or any resource discovery standards. The existing Message Queuing Telemetry Transport resource discovery relies on symmetric full-mesh synchronization, which causes excessive traffic and unacceptable latency as the system scales up: this restricts its use to only small-size deployments. To overcome these limitations, this paper proposes a Hierarchical Message Queuing Telemetry Transport resource discovery and distribution framework, inspired by the hierarchical design of the Domain Name System. By introducing hierarchical asymmetry, the framework reduces communication overhead, enhances scalability, and maintains efficient real-time query performance, as demonstrated by implementation and simulation results.