{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T20:19:51Z","timestamp":1771705191967,"version":"3.50.1"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031709050","type":"print"},{"value":"9783031709067","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T00:00:00Z","timestamp":1729209600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T00:00:00Z","timestamp":1729209600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-70906-7_6","type":"book-chapter","created":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T09:02:51Z","timestamp":1729155771000},"page":"58-68","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["2DP-FHS: 2D Pareto Optimized Fog Head Selection for Multiple EEG Healthcare Data Analysis and Computations"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-9578-0595","authenticated-orcid":false,"given":"Sri Harsha","family":"Kurra","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1467-3439","authenticated-orcid":false,"given":"Rama Krushna","family":"Rath","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9853-5964","authenticated-orcid":false,"given":"S. R.","family":"Sreeja","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,10,18]]},"reference":[{"key":"6_CR1","doi-asserted-by":"publisher","first-page":"143116","DOI":"10.1109\/ACCESS.2023.3341419","volume":"11","author":"NS Amer","year":"2023","unstructured":"Amer, N.S., Belhaouari, S.B.: EEG signal processing for medical diagnosis, healthcare, and monitoring: a comprehensive review. IEEE Access 11, 143116\u2013143142 (2023)","journal-title":"IEEE Access"},{"key":"6_CR2","doi-asserted-by":"publisher","first-page":"100049","DOI":"10.1016\/j.teler.2023.100049","volume":"10","author":"R Das","year":"2023","unstructured":"Das, R., Inuwa, M.M.: A review on fog computing: Issues, characteristics, challenges, and potential applications. Telemat. Inform. R 10, 100049 (2023)","journal-title":"Telemat. Inform. R"},{"key":"6_CR3","doi-asserted-by":"publisher","first-page":"1025","DOI":"10.1007\/s12553-020-00431-8","volume":"10","author":"HJ de Moura Costa","year":"2020","unstructured":"de Moura Costa, H.J., da Costa, C.A., da Rosa Righi, R., et al.: Fog computing in health: a systematic literature review. Health Technol. 10, 1025\u20131044 (2020)","journal-title":"Health Technol."},{"issue":"15","key":"6_CR4","doi-asserted-by":"publisher","first-page":"13327","DOI":"10.1109\/JIOT.2022.3143704","volume":"9","author":"AK Idrees","year":"2022","unstructured":"Idrees, A.K., Idrees, S.K., Couturier, R., Ali-Yahiya, T.: An edge-fog computing-enabled lossless EEG data compression with epileptic seizure detection in IoMT networks. IEEE Internet Things J. 9(15), 13327\u201313337 (2022)","journal-title":"IEEE Internet Things J."},{"key":"6_CR5","doi-asserted-by":"crossref","unstructured":"Alshammari, N., Pervaiz, H., Ahmed, H., Ni, Q.: Delay and total network usage optimisation using GGCN in fog computing. In: 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). Toronto, ON, Canada, (2023), pp. 1-6","DOI":"10.1109\/PIMRC56721.2023.10293846"},{"key":"6_CR6","doi-asserted-by":"crossref","unstructured":"Hassan, K., Javaid, N., Zafar, F., Rehman, S., Zahid, M., Rasheed, S.: A cloud fog based framework for efficient resource allocation using firefly algorithm. In: Barolli, L., Leu, F.Y., Enokido, T., Chen, H.C. (eds.) Advances on Broadband and Wireless Computing, Communication and Applications. BWCCA 2018. Lecture Notes on Data Engineering and Communications Technologies, vol. 25. Springer, Cham. (2019)","DOI":"10.1007\/978-3-030-02613-4_38"},{"key":"6_CR7","doi-asserted-by":"publisher","first-page":"105998","DOI":"10.1016\/j.engappai.2023.105998","volume":"121","author":"SO Ogundoyin","year":"2023","unstructured":"Ogundoyin, S.O., Kamil, I.A.: Optimal fog node selection based on hybrid particle swarm optimization and firefly algorithm in dynamic fog computing services. Eng. Appl. Artific. Intell. 121, 105998 (2023). https:\/\/doi.org\/10.1016\/j.engappai.2023.105998","journal-title":"Eng. Appl. Artific. Intell."},{"key":"6_CR8","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1016\/j.comnet.2019.04.021","volume":"158","author":"T Han","year":"2019","unstructured":"Han, T., Zhang, L., Pirbhulal, S., Wu, W., de Albuquerque, V.H.C.: A novel cluster head selection technique for edge-computing based IoMT systems. Comput. Netw. 158, 114\u2013122 (2019). https:\/\/doi.org\/10.1016\/j.comnet.2019.04.021","journal-title":"Comput. Netw."},{"key":"6_CR9","doi-asserted-by":"publisher","unstructured":"Devi, A., Kait, R., Ranga, V.: Automated cluster head selection in fog-VANET via machine learning. In: Sharma, H., Shrivastava, V., Kumari Bharti, K., Wang, L. (eds) Communication and Intelligent Systems. Lecture Notes in Networks and Systems, vol. 461. Springer, Singapore (2022). https:\/\/doi.org\/10.1007\/978-981-19-2130-8_89","DOI":"10.1007\/978-981-19-2130-8_89"},{"issue":"1","key":"6_CR10","doi-asserted-by":"publisher","first-page":"1502242","DOI":"10.1080\/23311916.2018.1502242","volume":"5","author":"N Gunantara","year":"2018","unstructured":"Gunantara, N.: A review of multi-objective optimization: methods and its applications. Cogent Eng. 5(1), 1502242 (2018)","journal-title":"Cogent Eng."},{"issue":"5","key":"6_CR11","doi-asserted-by":"publisher","first-page":"1645","DOI":"10.1109\/TCBB.2021.3052811","volume":"18","author":"X Gu","year":"2021","unstructured":"Gu, X., et al.: EEG-based brain-computer interfaces (BCIs): a survey of recent studies on signal sensing technologies and computational intelligence approaches and their applications. IEEE\/ACM Trans. Comput. Biol. Bioinf. 18(5), 1645\u20131666 (2021)","journal-title":"IEEE\/ACM Trans. Comput. Biol. Bioinf."},{"issue":"3","key":"6_CR12","first-page":"3805","volume":"80","author":"DK Sharma","year":"2023","unstructured":"Sharma, D.K., et al.: The aspect of vast data management problem in healthcare sector and implementation of cloud computing technique. Mater. Today: Proc. 80(3), 3805\u20133810 (2023)","journal-title":"Mater. Today: Proc."},{"key":"6_CR13","volume-title":"Cloud Computing","author":"A Anjum","year":"2017","unstructured":"Anjum, A., et al.: Big data analytics in healthcare: a cloud-based framework for generating insights. In: Antonopoulos, N., Gillam, L. (eds.) Cloud Computing. Computer Communications and Networks. Springer, Cham (2017)"},{"key":"6_CR14","series-title":"Signals and Communication Technology","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-030-46197-3_1","volume-title":"Fog Computing for Healthcare 4.0 Environments","author":"R Jain","year":"2021","unstructured":"Jain, R., Gupta, M., Nayyar, A., Sharma, N.: Adoption of fog computing in healthcare 4.0. In: Tanwar, S. (ed.) Fog Computing for Healthcare 4.0 Environments. SCT, pp. 3\u201336. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-46197-3_1"},{"key":"6_CR15","volume-title":"Handbook of Large-Scale Distributed Computing in Smart Healthcare","author":"H Dubey","year":"2017","unstructured":"Dubey, H., et al.: Fog computing in medical internet-of-things: architecture, implementation, and applications. In: Khan, S., Zomaya, A., Abbas, A. (eds.) Handbook of Large-Scale Distributed Computing in Smart Healthcare. Scalable Computing and Communications. Springer, Cham (2017)"},{"key":"6_CR16","doi-asserted-by":"crossref","unstructured":"Gonzalez, N.M., et al.: Fog computing: data analytics and cloud distributed processing on the network edges. In: 2016 35th International Conference of the Chilean Computer Science Society (SCCC), pp. 1\u20139. Valparaiso, Chile (2016)","DOI":"10.1109\/SCCC.2016.7836028"}],"container-title":["Communications in Computer and Information Science","Advances in Computing and Data Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-70906-7_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T09:13:29Z","timestamp":1729156409000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-70906-7_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,18]]},"ISBN":["9783031709050","9783031709067"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-70906-7_6","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,18]]},"assertion":[{"value":"18 October 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICACDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advances in Computing and Data Sciences","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Velizy","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 May 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 May 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icacds2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icacds.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}