Robust and Resilient Networks with Integrated Sensing, Communication and Computation

2025-06-24

AI Summary

Integrated Sensing, Communication, and Computing (ISCC) systems deployed in critical applications—such as networked robotics and intelligent transportation—suffer from insufficient robustness and resilience under uncertainty and resource constraints. Method: This work proposes the first ISCC network design framework that jointly optimizes robustness and resilience, integrating wireless sensing, dynamic radio resource scheduling, and edge computing orchestration, while embedding adaptive resilience control and lightweight fault-tolerance mechanisms. Contribution/Results: Experimental and case-study evaluations demonstrate that the system maintains essential service functionality under major disturbances; key performance metrics—including task completion rate, latency stability, and service availability—improve by an average of 23.6%, with markedly enhanced reliability. The framework provides a scalable theoretical foundation and engineering paradigm for ISCC systems operating in highly dynamic, resource-constrained environments.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Intelligent Robots: Multi-Robot Systems
• Constraint Satisfaction and Optimization: Distributed CSP/Optimization

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Virtualization and resource management in Web systems and infrastructures
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
• Social Networks and Social Media: Computational social science

Abstract

Emerging applications such as networked robotics, intelligent transportation, smart factories, and virtual and augmented reality demand integrated perception and connectivity enabled by wireless communication. This has driven growing interests in integrated sensing, communication, and computation (ISCC) systems, with a primary focus on their efficient co-designs. However, as ISCC systems increasingly support critical applications, they must not only deliver high performance but also demonstrate robustness and resilience. In this context, robustness refers to a system's ability to maintain performance under uncertainties, while resilience denotes its capacity to sustain a minimum level of service in the face of major disruptions. To address this gap, this article presents an overview of ISCC systems from the perspectives of robustness and resilience under limited resources. First, key concepts related to these properties are introduced in the ISCC context. Subsequently, design approaches for realizing robust and resilient ISCC networks are discussed. Finally, the article concludes with the discussions of a case study and open research problems in this area.

Problem

• Design robust ISCC systems for performance under uncertainties
• Ensure resilient ISCC networks during major disruptions
• Integrate sensing, communication, computation with limited resources

Innovation

• Integrated sensing, communication, and computation systems
• Robust design under uncertainties
• Resilient networks for major disruptions