提高危害感知网络物理系统的可靠性和可持续性

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Peijin Cong;Junlong Zhou;Weiming Jiang;Mingsong Chen;Shiyan Hu;Keqin Li
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引用次数: 0

摘要

部署在危险环境中的网络系统是危险感知网络物理系统(CPS)的关键组成部分,其性能在很大程度上取决于周围环境。由于网络节点(如便携式物联网设备)的移动性、网络拓扑和链路的频繁变化以及电磁干扰等其他外部干扰,确保危险感知网络物理系统的适应性和可靠性至关重要。同时,在危险环境中,信息传输的及时性要求非常严格,因为违反定时要求可能会导致严重后果。最后但并非最不重要的一点是,便携式物联网设备通常能源有限,因此确保可持续的信息传输是非常必要的。本文旨在优化危险感知 CPS 的可靠性,同时满足定时和能量限制。为此,我们开发了首个危险感知 CPS 模型,并研究了周围环境(即物理侧)对危险感知 CPS 的网络基础设施(即网络侧)可靠性的影响。我们还提出了一种新方案,可以自适应地调整容错策略和实时信息的接纳策略,从而在能量约束条件下提高危险感知 CPS 的可靠性。广泛的仿真结果表明,与最先进的方法相比,我们提出的方案能够将系统可靠性提高 4.21 倍,同时降低截止日期错过率和运行时开销。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving Reliability and Sustainability of Hazard-Aware Cyber-Physical Systems
The network system deployed in hazardous environments is a key component of hazard-aware cyber-physical systems (CPSs) and its performance highly depends on surrounding environments. Due to the mobility of network nodes (e.g., portable IoT devices), frequently changeable network topology and links, as well as other external interferences such as electromagnetic interference, ensuring adaptivity and reliability of hazard-aware CPSs is of utmost importance. Meanwhile, the timeliness of message transmission is stringent in hazardous environments because the violation of timing requirements may lead to serious consequences. Last but not least, portable IoT devices are typically energy limited, thus ensuring a sustainable message transmission is highly necessary. In this paper, we aim at optimizing the reliability of hazard-aware CPSs while meeting the timing and energy constraints. To this end, we develop the first hazard-aware CPS model and study the impacts of surrounding environments (i.e., physical side) to the network infrastructure of a hazard-aware CPS (i.e., cyber side) with respect to reliability. We also propose a new scheme that adaptively tunes the fault tolerance strategies and admission strategies for real-time messages, to increase the reliability of hazard-aware CPSs under the energy constraint. Extensive simulation results demonstrate that our proposed scheme is capable of increasing system reliability by up to 4.21× with a lower deadline miss rate and runtime overhead compared with the state-of-the-art approaches.
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来源期刊
IEEE Transactions on Sustainable Computing
IEEE Transactions on Sustainable Computing Mathematics-Control and Optimization
CiteScore
7.70
自引率
2.60%
发文量
54
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