Trust- and Residual-Energy-Aware Edge Scheduling for Intermittent Urban IoT Sensing

Trust-aware Internet of Things scheduling requires reputation evidence that is observable and energy state that enters the scheduling decision explicitly. This study presents a joint trust-energy scheduler (JTES). Beta reputation updates only after known-answer challenges or redundant execution produces an imperfect validation label. The scheduler uses the exact 5th percentile of the Beta posterior at a documented controller refresh interval and includes both sensor residual battery and gateway residual energy. Twenty-four paired seeds, five compromise probabilities, seven schedulers, and three validator qualities produced 840 main and 72 sensitivity trials. Eight thousand task arrivals define one simulated day. At 15% compromise with moderate validation, full JTES achieved 94.80% clean timely completion (SD 3.21) and accepted 2.56% bad results (SD 3.17). Energy-only scheduling achieved 86.81% and accepted 11.32%. Posterior-mean scheduling achieved 97.01% clean timely completion, accepted 0.95% bad results, and consumed 138.98 mJ per completed task, yielding better values than the conservative-bound policy on these principal simulated metrics. Validator degradation changed accepted corruption from 2.26% to 3.64%. The simulation exposes integrity-energy and conservatism-efficiency trade-offs and does not claim production lifetime or security performance.