Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Mary, S. A. Sahaaya Arul; Tamilselvi, M.; Londhe, Gaurav Vishnu; Muthevi, Anil Kumar; Rao, K. B. V. Brahma; Muniyandy, Elangovan Title A name given to the resource Adaptive Mesh Networking Protocol for Self-Healing Electrochemical Sensor Networks in Environmental Monitoring Applications Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Analytical Letters; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/00032719.2025.2609937" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/00032719.2025.2609937</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105027123230?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105027123230?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mary S.A.S.A., Department of AIML &amp; Data Science, School of Engineering and Technology, CHRIST University, Bangalore, India; Tamilselvi M., Department of Computer Science and Engineering, Roever Engineering College, Perambalur, India; Londhe G.V., Symbiosis Institute of Technology, Symbiosis International University, Pune, India; Muthevi A.K., Department of Computer Science and Engineering, Aditya University, Surampalem, India; Rao K.B.V.B., Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India; Muniyandy E., Department of Biosciences, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India, Applied Science Research Center, Applied Science Private University, Amman, Jordan Description An account of the resource Sensor networks for environmental monitoring must be robust, flexible, and long-lasting, and comprehensive reviews and evaluations of adaptive mesh networking protocols for self-healing to enable autonomous operation under challenging environmental conditions are needed. The purpose of this study was to conduct an extensive review and assessment of adaptive mesh networking protocols for the self-healing of electrochemical sensor networks used in environmental monitoring. The Adaptive Mesh Networking Protocols enable the distributed autonomous sensors (distributed over vast areas or through obstructions) to dynamically route their collected data, recover when nodes fail, and extend their life (in real-time). In evaluating adaptive mesh networking protocols, we reviewed several key features, including self-healing mechanisms, adaptive routing algorithms (including their mathematical representations), methods for achieving energy efficiency, and mechanisms for securing data collection from autonomous sensor networks. Our simulation results show that our proposed adaptive mesh networking protocol achieves greater than 98% packet delivery success, even with up to 30% of nodes lost. Furthermore, we have shown that our approach can reduce the energy consumption of autonomous sensors by up to 87.5% compared to existing non-adaptive approaches. Our demonstration of real-time monitoring dashboards and a comprehensive performance analysis of the autonomous sensor networks demonstrates the feasibility of implementing adaptive mesh networking protocols into large-scale environmental monitoring projects. A significant area of focus for future research will be sensor-level self-correction to address bio-fouling remediation. 2026 Taylor &amp; Francis Group, LLC. Subject The topic of the resource Adaptive routing; AODV (Ad-hoc On-demand Distance Vector); electrochemical sensors; energy efficiency; environmental monitoring; LoRaWAN (Long Range Wide Area Network); mesh networking Publisher An entity responsible for making the resource available Taylor and Francis Ltd. Relation A related resource ISSN: 32719; CODEN: ANALB Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online