作者：Lei Shi, Rui Ji, Zhen Wei, Shilong Feng, Zhehao Li发表刊物：CollaborateCom 2023

年份：February 2024

摘要：Peak Age of Information(PAoI), as a performance indicator representing the freshness of information, has attracted the attention of researchers in recent years. The data packet transmission rate in the LoRa network determines the information freshness level for system packets. In order to study the optimal scheduling of data packets, we try to use the PAoI to describe the real-time level of the end devices(EDs) and reduce it. We use edge servers to process monitoring data packets at the edge of the network to improve the efficiency of EDs and the information freshness level of data. Since packet transmission will be constrained by EDs battery queue energy and gateway queue backlog, we propose an optimization problem that aims to minimize the long-term average PAoI of EDs while ensuring network stability. With the Lyapunov optimization framework, the long-term stochastic optimization problem is transformed into a single-slot optimization problem. Furthermore, to avoid the problem of too large search space, we propose a dynamic strategy space reduction algorithm (SSDR) to shrink the strategy space. The simulation experiments show that our SSDR algorithm can optimize the PAoI index of EDs in various situations and satisfy the constraints of long-term optimization.

参考文献拷贝字段：Lei Shi, Rui Ji, Zhen Wei, Shilong Feng, Zhehao Li. Joint Optimization of PAoI and Queue Backlog with Energy Constraints in LoRa Gateway Systems[C]. 19th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), Corfu, Greece, October 4-6, 2023: 273-290. DOI:https://doi.org/10.1007/978-3-031-54531-3_15