The Wireless Flood Sensing Network (WFSN), comprising Flood Detection Nodes (FDNs) and Wireless Access Nodes (WANs), is essential for reducing flooding risk to infrastructure facilities. However, existing studies on FDN and WAN placements remain largely disconnected. Moreover, FDN placement often overlooks joint indoor-outdoor deployment, while WAN placement relies on manually created Signal Coverage Models (SCMs). This study develops an Identification-Development-Optimization (IDO) framework for designing WFSNs of building-type critical infrastructure facilities, including (i) identifying indoor-outdoor FDN placement areas, (ii) developing the SCM of WANs using Building Information Modeling (BIM), and (iii) optimizing WAN placements with FDN considerations. Using an electrical substation in Wan Chai, Hong Kong, as a case study, the WFSN scheme from the IDO framework outperforms 7 baseline schemes from expertise-based methods, numerical optimizations, and FDN-unaware optimizations, with a minimum of 8.4 % improvement in signal coverage performance across the facility. In high-priority areas (FDN-placed areas and key functional areas), the signal coverage performance improves by 12.1 % relative to the best baseline. This study contributes to a WFSN design framework, which orchestrates indoor and outdoor FDNs, provides a reusable function library converting BIM into SCM, and enables automated FDN-aware WAN optimization.
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