IoT networks handle incoming packets from large numbers of IoT Devices (IoTDs) to IoT Gateways. This can lead to the IoT Massive Access Problem that causes bu er overflow, large end-to-end delays and missed deadlines. This paper analyzes a novel tra c shaping method named the Quasi-Deterministic Tra c Policy (QDTP) that mitigates this problem by shaping the incoming tra c without increasing the end-to-end delay or dropping packets. Using queueing theoretic techniques and extensive data driven simulations with real IoT datasets, the value of QDTP is shown as a means to considerably reduce congestion at the Gateway, and significantly improve the IoT network’s overall performance.