A Novel Admission Scheme for Connection-Less IoT Devices

This paper introduces a novel framework for enabling ultra-low latency, connectionless communication among IoT devices, particularly in emergency and non-emergency scenarios where traditional network connectivity is unavailable or delayed. The system leverages a Layer 2 IoT protocol exempt from admission control, allowing devices to discover and access services based on contextual awareness—such as location, time, and urgency—without requiring prior network association. Key innovations include pre-association service discovery, dynamic admission classification, and a connectionless service model that enables IoT devices to transmit critical data through nearby facilitator devices (e.g., vehicles) to emergency call services. A machine learning-based proximity estimation engine ranks closed devices based on their functional capabilities, mobility, and historical performance, ensuring optimal service delivery. The system architecture also features a classification manager for zone-based service offerings and an auto-classification mechanism that prioritizes service requests based on predefined emergency codes and contextual parameters. This system extends the capabilities of existing platforms enabling seamless, secure, and intelligent service orchestration across heterogeneous IoT environments. By eliminating the need for prior admission and enabling real-time, context-aware service negotiation, the system significantly reduces response times in critical situations and enhances the resilience of IoT ecosystems. It represents a transformative step toward decentralized, intelligent, and adaptive IoT communication infrastructures.