Sep 2026· International Journal of Applied Resilience and Sustainability· Vol 2, pp. 1-9· 0 citations· 32 references
TL;DR
BlockLLM-E2MR, a blockchain-verified large-language-model-guided multipath routing framework where the language model cannot directly implant a route is proposed, a blockchain-verified large-language-model-guided multipath routing framework where the language model cannot directly implant a route.
Abstract
Route decisions in mobile ad hoc networks must consider preserving battery energy, resisting forwarding manipulation as well as being tolerant of mobility. Here we propose BlockLLM-E2MR, a blockchain-verified large-language-model-guided multipath routing framework where the language model cannot directly implant a route. Paths violating residual-energy and trust constraints first turn infeasible due to a deterministic feasibility gate, then the surviving paths are ranked with respect to a frozen LLM preference vector, followed by only storing the route digest and trust update as determined by a permissioned committee. Routing objective includes transmission energy, expected delay, posterior misbehavior risk, mobility exposure, residual-energy imbalance distance between any 2 nodes in same cluster and also non-linear interaction penalties. A 1000 m × 1000 m region with 60 nodes configured for mobility between 1–10 m/s, 4096-bit packets, and will execute over independent runs (N = 24) where a fraction of the nodes have been corrupted (ft= [0%,30%]). In an environment with 30% malicious nodes, BlockLLM-E2MR achieves a packet-delivery ratio of 46.27% and consumes 66.270 mJ per offered packet; compared to the stated model, this is a delivery improvement of 8.41 percentage points combined with an energy reduction of 1.35%. Both delivery (p=0.00108) and energy (p=8.07e-08) are impactful hence, have their pairwise comparisons done against the blockchain-based trust routing still significant in favour of delivery and energy respectively. The study can be independently reproduced by a worked example of route selection, complete parameter table, confidence intervals and ablation logic are explained here along with complexity bounds, ledger break-even inequality.
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