LHPA-ECR: link-health and priority-aware edge collaborative recovery for industrial IoT measurement-control networks

Abstract

Continuous field data are a basic operating condition for Industrial Internet of Things (IIoT) measurement-control networks. In deployed systems, however, packet loss, latency spikes, gateway outages, node interruptions, duplicated messages, timestamp skew, and edge overload can interrupt the path from field measurements to operational decisions. This paper presents LHPA-ECR, a link-health and priority-aware edge collaborative recovery mechanism for abnormal communication in industrial IoT measurement-control networks. The mechanism combines six functions: link-health scoring, message-priority scoring, edge caching, priority retransmission, gateway failover, and data-quality flagging. It was evaluated with an anonymized field deployment dataset covering 120 devices, 6 industrial gateways, 3 edge nodes, 5 zones, 10 strategy groups, and 100 deployment run identifiers from 2026-01-01 to 2026-03-31. Compared with a cloud-fixed retransmission baseline, LHPA-ECR reduced data missing rate from 6.542% to 1.856%, increased recovery rate from 37.895% to 83.411%, reduced P95 latency from 210.442 ms to 152.547 ms, and reduced mean time to recovery from 48.33 min to 16.13 min. Average edge CPU usage rose from 31.033% to 41.182%. The results show improved field data completeness and recovery speed within the tested deployment boundary.