{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T20:28:25Z","timestamp":1770755305552,"version":"3.50.0"},"reference-count":45,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2023,8,28]],"date-time":"2023-08-28T00:00:00Z","timestamp":1693180800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Union","award":["CZ.10.03.01\/00\/22_003\/0000048"],"award-info":[{"award-number":["CZ.10.03.01\/00\/22_003\/0000048"]}]},{"name":"European Union","award":["CZ.02.1.01\/0.0\/0.0\/16_019\/0000867"],"award-info":[{"award-number":["CZ.02.1.01\/0.0\/0.0\/16_019\/0000867"]}]},{"name":"European Regional Development Fund","award":["CZ.10.03.01\/00\/22_003\/0000048"],"award-info":[{"award-number":["CZ.10.03.01\/00\/22_003\/0000048"]}]},{"name":"European Regional Development Fund","award":["CZ.02.1.01\/0.0\/0.0\/16_019\/0000867"],"award-info":[{"award-number":["CZ.02.1.01\/0.0\/0.0\/16_019\/0000867"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Wireless sensor networks (WSNs) enable communication among sensor nodes and require efficient energy management for optimal operation under various conditions. Key challenges include maximizing network lifetime, coverage area, and effective data aggregation and planning. A longer network lifetime contributes to improved data transfer durability, sensor conservation, and scalability. In this paper, an enhanced dual-selection krill herd (KH) optimization clustering scheme for resource-efficient WSNs with minimal overhead is introduced. The proposed approach increases overall energy utilization and reduces inter-node communication, addressing energy conservation challenges in node deployment and clustering for WSNs as optimization problems. A dynamic layering mechanism is employed to prevent repetitive selection of the same cluster head nodes, ensuring effective dual selection. Our algorithm is designed to identify the optimal solution through enhanced exploitation and exploration processes, leveraging a modified krill-based clustering method. Comparative analysis with benchmark approaches demonstrates that the proposed model enhances network lifetime by 23.21%, increases stable energy by 19.84%, and reduces network latency by 22.88%, offering a more efficient and reliable solution for WSN energy management.<\/jats:p>","DOI":"10.3390\/s23177485","type":"journal-article","created":{"date-parts":[[2023,8,29]],"date-time":"2023-08-29T08:59:05Z","timestamp":1693299545000},"page":"7485","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Enhanced Dual-Selection Krill Herd Strategy for Optimizing Network Lifetime and Stability in Wireless Sensor Networks"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2312-2700","authenticated-orcid":false,"given":"Allam","family":"Balaram","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, MLR Institute of Technology, Hyderabad 500043, India"}]},{"given":"Rajendiran","family":"Babu","sequence":"additional","affiliation":[{"name":"Department of Computational Intelligence, School of Computing, SRM Institute of Science and Technology, Chennai 603203, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9720-2201","authenticated-orcid":false,"given":"Miroslav","family":"Mahdal","sequence":"additional","affiliation":[{"name":"Department of Control Systems and Instrumentation, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, 17. Listopadu 2172\/15, 70800 Ostrava, Czech Republic"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9516-1485","authenticated-orcid":false,"given":"Dowlath","family":"Fathima","sequence":"additional","affiliation":[{"name":"Department of Basic Sciences, College of Science and Theoretical Studies, Saudi Electronic University, Riyadh 11673, Saudi Arabia"}]},{"given":"Neeraj","family":"Panwar","sequence":"additional","affiliation":[{"name":"School of Computing, Graphic Era Hill University, Dehradun 248002, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2084-8864","authenticated-orcid":false,"given":"Janjhyam Venkata Naga","family":"Ramesh","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur 522302, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2349-3701","authenticated-orcid":false,"given":"Muniyandy","family":"Elangovan","sequence":"additional","affiliation":[{"name":"Department of Biosciences, Saveetha School of Engineering, Saveetha Nagar, Thandalam 602105, India"},{"name":"Department of R&D, Bond Marine Consultancy, London EC1V 2NX, UK"}]}],"member":"1968","published-online":{"date-parts":[[2023,8,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2746","DOI":"10.1109\/JSEN.2015.2512322","article-title":"Dynamic Cluster Head Selection Method for Wireless Sensor Network","volume":"16","author":"Jia","year":"2016","journal-title":"IEEE Sens. 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