Anticipatory Edge Intelligence: A Foundational Enabler for Resilient Critical Infrastructure Systems

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Authors: Shruti Lall, Nelishia Pillay
Cited by: 0
References: 19

Abstract

Critical infrastructure systems (CISs), such as power grids, water networks, and transportation systems, operate under stringent requirements for timeliness, resilience, and coordinated response. As these systems become increasingly data-driven and automated, decisions must often be made under uncertainty and with limited tolerance for delay. This position paper advocates for Anticipatory Edge Intelligence (AEI) as a conceptual framing for designing edge-enabled intelligence in CISs, with resilience and containment as primary objectives. AEI emphasizes the generation, exchange, and operationalization of short-horizon anticipatory information at the edge to enable coordinated, preemptive action before degradation propagates. The paper examines key challenges faced by CISs, identifies opportunities where anticipatory coordination can enhance system-level resilience, and uses an illustrative scenario to motivate this perspective. By articulating AEI as a research and design lens, this work aims to guide future investigation into resilient, edge-enabled infrastructure systems.

Fields of Study & Subjects

IoT and Edge/Fog Computing Infrastructure Resilience and Vulnerability Analysis Energy and Environmental Systems

Publication details

Journal / source
IEEE Internet Computing
Volume
30
Issue
1
Pages
71–80
Publication date
1 January 2026