A Q-learning-based QoS-aware multipath routing protocol in IoMT-based wireless body area network

2026-04-20T07:23:47Z83ef2fcd7abc41cde77714e6ea9183f27c48f44226db8ffb98c87f703b8f3a21
HPC-congestionIoMTIoTLoRALoRaWANPEFTSWIPTWBANbackscatterdeterministic-schedulingedge-computingfederated-learningin-vehicle-networksradio-environment-mapsatellite-constellations

What happened

Collection of recent networking and IoT papers with multiple security-relevant implications. Highlights include: (1) IoMT/WBAN routing (Q-learning multipath) — safety- and privacy-sensitive medical telemetry that could be disrupted or manipulated via routing- and learning-stage attacks; (2) protocol-agnostic backscatter authentication for SWIPT/LoRaWAN — introduces a low-power identification layer but also surfaces replay, relay, and physical-layer cloning risks; (3) federated PEFT for wireless edge (LoRA/Fed-LoRA) — reduces communications overhead but raises model-poisoning and privacy-leak (

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_ni
Record identifier
83ef2fcd7abc41cde77714e6ea9183f27c48f44226db8ffb98c87f703b8f3a21
Enrichment time
2026-04-20T07:23:47Z
AI-assisted enrichment
Yes

This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.