aspg-39-4470-1792222466 20261017073426 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Neutrosophic and Information Fusion NIF 2836-7863 2026 6 2 Durdona Uktamova Faculty of Joint Degree, Tashkent State University of Economics, Uzbekistan Adnan Manzoor Faculty of Engineering, Central Asian University, Uzbekistan Cluster-based routing extends the lifetime of an Internet-of-Things wireless sensor network (WSN), but the quality of a cluster head (CH) depends on several mutually uncertain factors—residual energy, link quality, centrality and behavioural trust—each measured imperfectly and reported as a range rather than a point. We model each candidate node with an interval-neutrosophic set (INS), so every factor carries an interval of truth, indeterminacy and falsity, and we fuse the factors with an interval-neutrosophic weighted aggregation operator into a single suitability score. Cluster heads are then elected by a possibility-degree ranking of the fused interval scores, subject to a minimum-trust guard. Simulation of a 200-node network shows that interval-neutrosophic CH selection extends first-node-death time by 18–24% over a standard energy-and-distance heuristic and cuts the share of misbehaving nodes elected as heads from 14.7% to 1.3%. The method degrades gracefully as measurement indeterminacy grows and adds only modest per-round overhead. 2026 12 16 4470 https://creativecommons.org/licenses/by/4.0/ 10.54216/NIF.060203 https://americaspg.com/journal/39/article/4470 https://americaspg.com/storage/articles/manuscripts/01KYN4FJ3NHFM0K3BED0R3RNAA.pdf