Optimal Design and Analysis of Low Latency Internet of Things Transmission in Constrained Space

This study proposes a technique that combines differential coding and dictionary compression to address the need for low latency and high reliability that exists in IoT communication in constrained spaces. The method uses differential coding to reduce data redundancy and dictionary compression to effectively reduce the amount of data transmitted, thus reducing the communication delay. Experimental results show that the proposed method has a significant compression rate advantage in data streams with a high probability of character repetition, especially after taking full advantage of the statistical properties of the data and the information of the communication frame structure, which further improves the compression efficiency. This study concludes that differential coding and dictionary compression techniques can effectively improve the response speed and stability of IoT communication systems in restricted spaces, and have application value for real-time monitoring and emergency response. This study provides an effective solution for the optimisation of communication systems in restricted spaces, and also provides a reference for future research on algorithm optimisation under complex data flow characteristics.