부산대학교 도서관

In today’s power transmission grids, Internet of Things (IoT) networks employ long-haul optical wires for regular sensor data dissemination to a server. Ensuring resilience against link faults is paramount to observe the grid states accurately via a process known as state estimation (SE). The accuracy is achieved by minimizing the end-to-end failure rate in packet delivery (EEFR). Current approaches focus on hop-by-hop retransmission control with in-path caching. Notably, the disruption-resilient transport protocol (DRTP) stands out for achieving the lowest EEFR. DRTP employs robust hop-by-hop retransmission and a recursive collaboration process guided by arrival timeouts. However, challenges arise in maintaining recursiveness with timeouts, leading to increased EEFR due to cache mismatch. These intensify when a hop triggers arrival timeouts, spawning retransmission instances in an unexpected sequence, which can experience an unprotected parallel race condition. To address this, we propose resilient sensor data dissemination (RSDD), a resilient mechanism for sensor data dissemination for implementing DRTP in the correct and fully verified manner. RSDD orchestrates concurrent retransmission instances, ensuring exclusive execution for the same lost packet, precisely scheduled based on timeouts. We evaluated the performance of RSDD in a simulated network that combines SE and a grid, using ndnSIM, MATPOWER, and RTDS. The results validate RSDD as a correct DRTP implementation, highlighting its exclusiveness and Quality-of-Service performance. RSDD achieves an EEFR of 2.44% and an average end-to-end packet delivery time (EEDT) of 2.7 ms during full path disruption with a 20% link loss rate in packets. Moreover, RSDD excels in enabling SE to maintain the grid observability and accuracy.