{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T00:17:05Z","timestamp":1743034625435,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":16,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819967056"},{"type":"electronic","value":"9789819967063"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-981-99-6706-3_43","type":"book-chapter","created":{"date-parts":[[2023,11,25]],"date-time":"2023-11-25T11:02:34Z","timestamp":1700910154000},"page":"503-510","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Fuzzy-Based Cluster Head Selection for Wireless Sensor Networks"],"prefix":"10.1007","author":[{"given":"R.","family":"Surendiran","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"D.","family":"Nageswari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R.","family":"Jothin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Jegatheesh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Ahilan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Bhuvanesh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,11,26]]},"reference":[{"key":"43_CR1","doi-asserted-by":"crossref","unstructured":"Bochie, K., et al.: A survey on deep learning for challenged networks: applications and trends. S J. Netw. Comput. Appl. 194, 103213 (2021)","DOI":"10.1016\/j.jnca.2021.103213"},{"key":"43_CR2","doi-asserted-by":"crossref","unstructured":"Adimoolam, M., et al.: Green ICT communication, networking and data processing. In: Green Computing in Smart Cities: Simulation and Techniques, pp. 95\u2013124 (2021)","DOI":"10.1007\/978-3-030-48141-4_6"},{"key":"43_CR3","doi-asserted-by":"crossref","unstructured":"Xu, C., et al.: An energy-efficient region source routing protocol for lifetime maximization in WSN. IEEE Access 7, 135277\u2013135289 (2019)","DOI":"10.1109\/ACCESS.2019.2942321"},{"key":"43_CR4","doi-asserted-by":"crossref","unstructured":"Sudha, C., Suresh, D., Nagesh, A.: An enhanced dynamic cluster head selection approach to reduce energy consumption in WSN. In: Innovations in Electronics and Communication Engineering: Proceedings of the 8th ICIECE 2019. Springer Singapore (2020)","DOI":"10.1007\/978-981-15-3172-9_22"},{"key":"43_CR5","doi-asserted-by":"crossref","unstructured":"Yadav, R.K., Mahapatra, R.P.: Hybrid metaheuristic algorithm for optimal cluster head selection in wireless sensor network. Pervasive Mob. Comput. 79, 101504 (2022)","DOI":"10.1016\/j.pmcj.2021.101504"},{"key":"43_CR6","doi-asserted-by":"crossref","unstructured":"Salem, A., Amer, O., Shudifat, N.: Enhanced LEACH protocol for increasing a lifetime of WSNs. Pers. Ubiquitous Comput. 23, 901\u2013907 (2019)","DOI":"10.1007\/s00779-019-01205-4"},{"key":"43_CR7","doi-asserted-by":"crossref","unstructured":"Mittal, M., et al.: Analysis of security and energy efficiency for shortest route discovery in low\u2010energy adaptive clustering hierarchy protocol using Levenberg\u2010Marquardt neural network and gated recurrent unit for intrusion detection system. Trans. Emerg. Telecommun. Technolog. 32(6), e3997 (2021)","DOI":"10.1002\/ett.3997"},{"key":"43_CR8","doi-asserted-by":"crossref","unstructured":"Toor, A.S., Jain, A.K.: Energy aware cluster based multi-hop energy efficient routing protocol using multiple mobile nodes (MEACBM) in wireless sensor networks. AEU-Int. J. Electron. Commun. 102, 41\u201353 (2019)","DOI":"10.1016\/j.aeue.2019.02.006"},{"key":"43_CR9","doi-asserted-by":"crossref","unstructured":"Kumar Pulligilla, M., Vanmathi, C.: An authentication approach in SDN-VANET architecture with Rider-Sea Lion optimized neural network for intrusion detection. Internet Things 100723 (2023)","DOI":"10.1016\/j.iot.2023.100723"},{"key":"43_CR10","doi-asserted-by":"crossref","unstructured":"Sharma, H., Haque, A., Jaffery, Z.A.: Maximization of wireless sensor network lifetime using solar energy harvesting for smart agriculture monitoring. Ad Hoc Netw. 94, 101966 (2019)","DOI":"10.1016\/j.adhoc.2019.101966"},{"key":"43_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105610","volume":"83","author":"S Radhika","year":"2019","unstructured":"Radhika, S., Rangarajan, P.: On improving the lifespan of wireless sensor networks with fuzzy based clustering and machine learning based data reduction. Appl. Soft Comput. 83, 105610 (2019)","journal-title":"Appl. Soft Comput."},{"key":"43_CR12","doi-asserted-by":"crossref","unstructured":"Murugaanandam, S., Ganapathy, V.: Reliability-based cluster head selection methodology using fuzzy logic for performance improvement in WSNs. IEEE Access 7, 87357\u201387368 (2019)","DOI":"10.1109\/ACCESS.2019.2923924"},{"key":"43_CR13","doi-asserted-by":"crossref","unstructured":"Robinson, Y.H., et al.: Probability-based cluster head selection and fuzzy multipath routing for prolonging lifetime of wireless sensor networks. Peer-to-Peer Netw. Appl. 12, 1061\u20131075 (2019)","DOI":"10.1007\/s12083-019-00758-8"},{"key":"43_CR14","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1016\/j.comnet.2019.01.024","volume":"151","author":"K Thangaramya","year":"2019","unstructured":"Thangaramya, K., et al.: Energy aware cluster and neuro-fuzzy based routing algorithm for wireless sensor networks in IoT. Comput. Netw. 151, 211\u2013223 (2019)","journal-title":"Comput. Netw."},{"key":"43_CR15","doi-asserted-by":"crossref","unstructured":"Askari, S.: Fuzzy C-means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers: review and development. Exp. Syst. Appl. 165, 113856 (2021)","DOI":"10.1016\/j.eswa.2020.113856"},{"key":"43_CR16","doi-asserted-by":"publisher","first-page":"905","DOI":"10.1007\/s11277-020-07259-5","volume":"113","author":"P Subramanian","year":"2020","unstructured":"Subramanian, P., et al.: A hybrid grey wolf and crow search optimization algorithm-based optimal cluster head selection scheme for wireless sensor networks. Wirel. Pers. Commun. 113, 905\u2013925 (2020)","journal-title":"Wirel. Pers. Commun."}],"container-title":["Smart Innovation, Systems and Technologies","Intelligent Data Engineering and Analytics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-6706-3_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,25]],"date-time":"2023-11-25T11:11:29Z","timestamp":1700910689000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-6706-3_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819967056","9789819967063"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-6706-3_43","relation":{},"ISSN":["2190-3018","2190-3026"],"issn-type":[{"type":"print","value":"2190-3018"},{"type":"electronic","value":"2190-3026"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"26 November 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"FICTA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Frontiers of Intelligent Computing: Theory and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cardiff","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 April 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 April 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ficta2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ficta.co.uk\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}