| dc.description.abstract | In the context of an increasingly aging population, the rise of smart long-term care technology offers new solutions to improve the quality of life for the elderly. However, this also presents numerous challenges for traditional camera networks. Firstly, with the growing demand for smart long-term care, camera networks need to handle more video data, which imposes higher demands on network bandwidth and data transmission speed. Additionally, the reliability and stability of camera networks become particularly important, as any delay or data loss could adversely affect the safety and quality of care for the elderly. Furthermore, camera networks need to have strong scalability to flexibly add or reduce monitoring devices.To address these issues, this thesis proposes the design and implementation of a DDS camera network for AIoT applications. The system utilizes DDS technology to achieve low-latency transmission, reliable data transmission, and flexible scalability. We use the Micro XRCE-DDS Client-Agent architecture to enable interaction with the DDS domain even on low-resource devices. Experimental results show that, compared to the widely used MQTT in IoT, DDS has an average transmission latency that is 3.22 milliseconds lower when using a single device. When three devices are transmitting simultaneously, DDS′s average transmission latency is even 14.84 milliseconds lower. Moreover, when the number of camera devices increases to three, DDS′s latency only increases by 39.30%, significantly lower than MQTT′s 133.54%.The experimental results demonstrate that our design approach has significant advantages in reducing transmission latency, enhancing transmission reliability, and improving system flexibility and scalability. These findings highlight the potential of DDS technology in smart long-term care applications, providing important references for the future development of elderly care systems. | en_US |