Dawn: Dependable Networking Framework for Multimedia-enabled Internet-of-Things

Developing reliable application for the Internet-of-Things (IoT) is challenging due to heterogenous sensors and the resource-constraints of IoT platforms. Multimedia sensors such as cameras and microphones require significant memory and bandwidth. Typically, multimedia content results in bursty traffic. It is shown in the literature that the bursty traffic degrades the performance of the network. Hence, the regulation of bursty transmission is important for achieving high reliability. In this paper, we propose Dawn, a dependable networking framework for time-synchronised IoT platforms, which uses application meta-data to derive bandwidth requirements and uses this information to optimally allocate bandwidth for the network. Dawn regulates the transmission of bursty traffic generated by multimedia sensors, while performing admission control for dynamically added sensors. Dawn guarantees end-to-end reliability for heterogenous IoT applications with minimal energy consumption. Our preliminary evaluation results show that dawn is dependable and provides 100% reliability for dynamic multimedia-enabled IoT applications while increasing the network lifetime by up to 4 years.