{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T15:59:30Z","timestamp":1785427170218,"version":"3.56.0"},"reference-count":24,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T00:00:00Z","timestamp":1775174400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100014786","name":"Northern Border University","doi-asserted-by":"crossref","award":["NBU-FFR-2026-2466-04"],"award-info":[{"award-number":["NBU-FFR-2026-2466-04"]}],"id":[{"id":"10.13039\/501100014786","id-type":"DOI","asserted-by":"crossref"}]},{"award":["NBU-FFR-2026-2466-04"],"award-info":[{"award-number":["NBU-FFR-2026-2466-04"]}],"id":[{"id":"https:\/\/ror.org\/03j9tzj20","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computation"],"abstract":"<jats:p>As the scale and complexity of Internet of Things (IoT) deployments increase, maintaining resilience in resource-constrained mesh networks becomes a significant challenge. Frequent node failures due to battery depletion, environmental interference, or hardware degradation can disrupt data flows and lead to operational downtime. To address this, we propose EdgeRescue, a novel lightweight AI-driven framework for self-healing in energy-constrained IoT mesh environments. EdgeRescue enables each node to perform local anomaly detection using compact 1D Convolutional Neural Networks (1D-CNNs) and initiates distributed, energy-aware routing reconfiguration when faults are detected. Unlike cloud-dependent methods, EdgeRescue operates entirely at the edge, requiring minimal computation, memory, and communication overhead. Extensive simulations on a 100-node testbed demonstrate that EdgeRescue improves packet delivery by 13.2%, reduces recovery latency by 57%, and lowers average node energy consumption by 18.8% compared to state-of-the-art baselines. These results establish EdgeRescue as a scalable and practical solution for achieving real-time resilience in next-generation IoT mesh networks.<\/jats:p>","DOI":"10.3390\/computation14040084","type":"journal-article","created":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T04:10:27Z","timestamp":1775448627000},"page":"84","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["EdgeRescue: Lightweight AI-Based Self-Healing for Energy-Constrained IoT Meshes"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-4577-6898","authenticated-orcid":false,"given":"Haifa A.","family":"Alanazi","sequence":"first","affiliation":[{"name":"Department of Information Systems and Computer Science, Faculty of Computing and Information Technology, Northern Border University, Rafha 91911, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4518-9471","authenticated-orcid":false,"given":"Abdulaziz G.","family":"Alanazi","sequence":"additional","affiliation":[{"name":"Department of Information Systems and Computer Science, Faculty of Computing and Information Technology, Northern Border University, Rafha 91911, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5948-4260","authenticated-orcid":false,"given":"Nasser S.","family":"Albalawi","sequence":"additional","affiliation":[{"name":"Department of Information Systems and Computer Science, Faculty of Computing and Information Technology, Northern Border University, Rafha 91911, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,4,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2787","DOI":"10.1016\/j.comnet.2010.05.010","article-title":"The internet of things: A survey","volume":"54","author":"Atzori","year":"2010","journal-title":"Comput. 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