{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T10:40:18Z","timestamp":1768819218767,"version":"3.49.0"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,1,23]],"date-time":"2023-01-23T00:00:00Z","timestamp":1674432000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,1,23]],"date-time":"2023-01-23T00:00:00Z","timestamp":1674432000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Wireless Com Network"],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The unmanned aerial vehicles (UAV) base station is most widely used as the emergency communication in response to emergencies. However, the performance improvement is in great demand at communication network. To improve the performance between the UAVs and the users, a novel method is proposed based on <jats:italic>k<\/jats:italic>-means++ algorithm and antenna adjusting. The established simulation platform and models are credible and reliable according to the very excellent approximation capability and the strong correlation between the simulation results and the Shannon\u2019s formula. The transmission success rate for the three conditions (using only <jats:italic>k<\/jats:italic>-means++, antenna pointing optimization and antenna downtilt angle optimization) dramatically increases with an increase in <jats:italic>k<\/jats:italic> and all reach the maximum when <jats:italic>k<\/jats:italic> is equal to 5. The fan throughput of the proposed method is almost two times than that of the other two conditions after the <jats:italic>k<\/jats:italic> value exceeds 5. Meanwhile, the edge users\u2019 rate and average user rate of the proposed method are all markedly increased. Overall, a novel method is provided for optimizing the performance between multi-UAVs and users, and the performance communication network for multi-UAVs is optimized by using the proposed method in this paper.<\/jats:p>","DOI":"10.1186\/s13638-023-02222-x","type":"journal-article","created":{"date-parts":[[2023,1,23]],"date-time":"2023-01-23T11:03:03Z","timestamp":1674471783000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Study on optimization of communication network for multi-unmanned aerial vehicles"],"prefix":"10.1186","volume":"2023","author":[{"given":"Guanghua","family":"He","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yahui","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinlong","family":"Qi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ke","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,1,23]]},"reference":[{"key":"2222_CR1","doi-asserted-by":"publisher","unstructured":"S. Zhang, Research on emergency coverage capacity of fixed-wing UAV based on 5G. in 2020 International Wireless Communications and Mobile Computing (IWCMC) (2020) pp. 680\u2013684. https:\/\/doi.org\/10.1109\/IWCMC48107.2020.9148343","DOI":"10.1109\/IWCMC48107.2020.9148343"},{"key":"2222_CR2","doi-asserted-by":"publisher","first-page":"3561","DOI":"10.1016\/j.matpr.2020.09.543","volume":"37","author":"MMS Ibrahim","year":"2021","unstructured":"M.M.S. Ibrahim, P. Shanmugaraja, Optimized link state routing protocol performance in flying ad-hoc networks for various data rates of unmanned aerial network. Mater. Today Proc. 37, 3561\u20133568 (2021). https:\/\/doi.org\/10.1016\/j.matpr.2020.09.543","journal-title":"Mater. Today Proc."},{"key":"2222_CR3","doi-asserted-by":"publisher","first-page":"107122","DOI":"10.1016\/j.comnet.2020.107122","volume":"171","author":"A Ahmad","year":"2020","unstructured":"A. Ahmad, A.A. Cheema, D. Finlay, A survey of radio propagation channel modelling for low altitude flying base stations. Comput. Netw. 171, 107122 (2020). https:\/\/doi.org\/10.1016\/j.comnet.2020.107122","journal-title":"Comput. Netw."},{"key":"2222_CR4","doi-asserted-by":"publisher","first-page":"102894","DOI":"10.1016\/j.adhoc.2022.102894","volume":"133","author":"K Tsao","year":"2022","unstructured":"K. Tsao, T. Girdler, V.G. Vassilakis, A survey of cyber security threats and solutions for UAV communications and flying ad-hoc networks. Ad Hoc Netw. 133, 102894 (2022). https:\/\/doi.org\/10.1016\/j.adhoc.2022.102894","journal-title":"Ad Hoc Netw."},{"key":"2222_CR5","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1109\/MCOM.2016.7470933","volume":"54","author":"Y Zeng","year":"2016","unstructured":"Y. Zeng, R. Zhang, T.J. Lim, Wireless communications with unmanned aerial vehicles: opportunities and challenges. IEEE Commun. Mag. 54, 36\u201342 (2016). https:\/\/doi.org\/10.1109\/MCOM.2016.7470933","journal-title":"IEEE Commun. Mag."},{"key":"2222_CR6","doi-asserted-by":"publisher","first-page":"100390","DOI":"10.1016\/j.vehcom.2021.100390","volume":"32","author":"G Castellanos","year":"2021","unstructured":"G. Castellanos, G. Vallero, M. Deruyck, L. Martens, M. Meo, W. Joseph, Evaluation of flying caching servers in UAV-BS based realistic environment. Veh. Commun. 32, 100390 (2021). https:\/\/doi.org\/10.1016\/j.vehcom.2021.100390","journal-title":"Veh. Commun."},{"key":"2222_CR7","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1109\/MWC.2018.1800023","volume":"26","author":"Y Zeng","year":"2019","unstructured":"Y. Zeng, J. Lyu, R. Zhang, Cellular-connected UAV: potential, challenges, and promising technologies. IEEE Wirel. Commun. 26, 120\u2013127 (2019). https:\/\/doi.org\/10.1109\/MWC.2018.1800023","journal-title":"IEEE Wirel. Commun."},{"key":"2222_CR8","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1007\/s10776-020-00497-1","volume":"28","author":"M Mahbub","year":"2021","unstructured":"M. Mahbub, Unmanned aerial vehicle-aided 5G NR for enhanced network in urban scenarios. Int. J. Wirel. Inf. Netw. 28, 104\u2013115 (2021). https:\/\/doi.org\/10.1007\/s10776-020-00497-1","journal-title":"Int. J. Wirel. Inf. Netw."},{"key":"2222_CR9","doi-asserted-by":"publisher","first-page":"2334","DOI":"10.1109\/COMST.2019.2902862","volume":"21","author":"M Mozaffari","year":"2019","unstructured":"M. Mozaffari, W. Saad, M. Bennis, Y. Nam, M. Debbah, A tutorial on UAVs for wireless networks: applications, challenges, and open problems. IEEE Commun. Surv. Tutor. 21, 2334\u20132360 (2019). https:\/\/doi.org\/10.1109\/COMST.2019.2902862","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"2222_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13638-021-01922-6","volume":"117","author":"Q Li","year":"2021","unstructured":"Q. Li, Q. Li, D. Wang, H. Lu, W. Hong, Q. Mu, Performance analysis of the collaborative caching strategy in an UAV-RAN. EURASIP J. Wirel. Commun. Netw. 117, 1\u201320 (2021). https:\/\/doi.org\/10.1186\/s13638-021-01922-6","journal-title":"EURASIP J. Wirel. Commun. Netw."},{"key":"2222_CR11","doi-asserted-by":"publisher","first-page":"100474","DOI":"10.1016\/j.vehcom.2022.100474","volume":"36","author":"N Parvaresh","year":"2022","unstructured":"N. Parvaresh, M. Kulhandjian, H. Kulhandjian, C. D\u2019Amours, B. Kantarci, A tutorial on AI-powered 3D deployment of drone base stations: state of the art, applications and challenges. Veh. Comm. 36, 100474 (2022). https:\/\/doi.org\/10.1016\/j.vehcom.2022.100474","journal-title":"Veh. Comm."},{"key":"2222_CR12","doi-asserted-by":"publisher","first-page":"168327","DOI":"10.1109\/ACCESS.2019.2954332","volume":"7","author":"J Li","year":"2019","unstructured":"J. Li, D. Lu, G. Zhang, J. Tian, Y. Pang, Post-Disaster unmanned aerial vehicle base station deployment method based on artificial bee colony algorithm. IEEE Access 7, 168327\u2013168336 (2019). https:\/\/doi.org\/10.1109\/ACCESS.2019.2954332","journal-title":"IEEE Access"},{"key":"2222_CR13","doi-asserted-by":"publisher","unstructured":"R.I.B. Yaliniz, A. El-Keyi, H. Yanikomeroglu, Efficient 3-D placement of an aerial base station in next generation cellular networks. in 2016 IEEE International Conference on Communications (ICC),\\ (2016). https:\/\/doi.org\/10.1109\/ICC.2016.7510820","DOI":"10.1109\/ICC.2016.7510820"},{"key":"2222_CR14","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1109\/LWC.2017.2700840","volume":"6","author":"M Alzenad","year":"2017","unstructured":"M. Alzenad, A. El-Keyi, F. Lagum, H. Yanikomeroglu, 3-D placement of an unmanned aerial vehicle base station (UAV-BS) for energy-efficient maximal coverage. IEEE Wirel. Commun. Lett. 6, 434\u2013437 (2017). https:\/\/doi.org\/10.1109\/LWC.2017.2700840","journal-title":"IEEE Wirel. Commun. Lett."},{"key":"2222_CR15","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.jnca.2019.07.002","volume":"144","author":"H Huang","year":"2019","unstructured":"H. Huang, A.V. Savkin, M. Ding, M.A. Kaafar, Optimized deployment of drone base station to improve user experience in cellular networks. J. Netw. Comput. Appl. 144, 49\u201358 (2019). https:\/\/doi.org\/10.1016\/j.jnca.2019.07.002","journal-title":"J. Netw. Comput. Appl."},{"key":"2222_CR16","doi-asserted-by":"publisher","first-page":"85203","DOI":"10.1109\/ACCESS.2019.2924720","volume":"7","author":"AA Khuwaja","year":"2019","unstructured":"A.A. Khuwaja, G. Zheng, Y. Chen, W. Feng, Optimum deployment of multiple UAVs for coverage area maximization in the presence of co-channel interference. IEEE Access 7, 85203\u201385212 (2019). https:\/\/doi.org\/10.1109\/ACCESS.2019.2924720","journal-title":"IEEE Access"},{"key":"2222_CR17","doi-asserted-by":"publisher","first-page":"2191","DOI":"10.1007\/s11277-021-09451-7","volume":"124","author":"A Mazaherifar","year":"2022","unstructured":"A. Mazaherifar, S. Mostafavi, UAV placement and trajectory design optimization: a survey. Wirel. Pers. Commun. 124, 2191\u20132210 (2022). https:\/\/doi.org\/10.1007\/s11277-021-09451-7","journal-title":"Wirel. Pers. Commun."},{"key":"2222_CR18","doi-asserted-by":"publisher","first-page":"71775","DOI":"10.1109\/ACCESS.2020.2987851","volume":"8","author":"M Huang","year":"2020","unstructured":"M. Huang, L. Huang, S. Zhong, P. Zhang, UAV-mounted mobile base station placement via sparse recovery. IEEE Access 8, 71775\u201371781 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.2987851","journal-title":"IEEE Access"},{"key":"2222_CR19","doi-asserted-by":"publisher","first-page":"9124","DOI":"10.1109\/ACCESS.2020.2964042","volume":"8","author":"J Tang","year":"2020","unstructured":"J. Tang, J. Song, J. Ou, J. Luo, X. Zhang, K. Wong, Minimum throughput maximization for multi-UAV enabled WPCN: a deep reinforcement learning method. IEEE Access 8, 9124\u20139132 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.2964042","journal-title":"IEEE Access"},{"key":"2222_CR20","doi-asserted-by":"publisher","first-page":"10009","DOI":"10.1109\/JIOT.2019.2935105","volume":"6","author":"H Wang","year":"2019","unstructured":"H. Wang, H. Zhao, W. Wu, J. Xiong, D. Ma, J. Wei, Deployment algorithms of flying base stations: 5G and beyond with UAVs. IEEE Internet Things J. 6, 10009\u201310027 (2019). https:\/\/doi.org\/10.1109\/JIOT.2019.2935105","journal-title":"IEEE Internet Things J."},{"key":"2222_CR21","doi-asserted-by":"publisher","first-page":"604","DOI":"10.1109\/LCOMM.2016.2633248","volume":"21","author":"J Lyu","year":"2017","unstructured":"J. Lyu, Y. Zeng, R. Zhang, T.J. Lim, Placement optimization of UAV-mounted mobile base stations. IEEE Commun. Lett. 21, 604\u2013607 (2017). https:\/\/doi.org\/10.1109\/LCOMM.2016.2633248","journal-title":"IEEE Commun. Lett."},{"key":"2222_CR22","doi-asserted-by":"publisher","first-page":"102895","DOI":"10.1016\/j.jnca.2020.102895","volume":"174","author":"A Fotouhi","year":"2021","unstructured":"A. Fotouhi, M. Ding, M. Hassan, Improving spectral efficiency using drone-mounted flying base stations. J. Netw. Comput. Appl. 174, 102895 (2021). https:\/\/doi.org\/10.1016\/j.jnca.2020.102895","journal-title":"J. Netw. Comput. Appl."},{"key":"2222_CR23","doi-asserted-by":"publisher","first-page":"115529","DOI":"10.1016\/j.eswa.2021.115529","volume":"184","author":"HE Mohamadi","year":"2021","unstructured":"H.E. Mohamadi, N. Kara, M. Lagha, Efficient algorithms for decision making and coverage deployment of connected multi-low-altitude platforms. Expert Syst Appl 184, 115529 (2021). https:\/\/doi.org\/10.1016\/j.eswa.2021.115529","journal-title":"Expert Syst Appl"},{"key":"2222_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.phycom.2019.03.007","author":"H Dai","year":"2019","unstructured":"H. Dai, H. Zhang, B. Wang, L. Yang, The multi-objective deployment optimization of UAV-mounted cache-enabled base stations. Phys. Commun. (2019). https:\/\/doi.org\/10.1016\/j.phycom.2019.03.007","journal-title":"Phys. Commun."},{"key":"2222_CR25","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/j.comcom.2021.09.016","volume":"181","author":"Z Zhao","year":"2022","unstructured":"Z. Zhao, P. Cumino, C. Esposito, M. Xiao, D. Ros\u00e1rio, T. Braun, Smart unmanned aerial vehicles as base stations placement to improve the mobile network operations. Comput. Commun. 181, 45\u201357 (2022). https:\/\/doi.org\/10.1016\/j.comcom.2021.09.016","journal-title":"Comput. Commun."},{"key":"2222_CR26","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.procs.2022.04.013","volume":"202","author":"S Yang","year":"2022","unstructured":"S. Yang, Z. Shan, J. Cao, Y. Gao, Y. Guo, P. Wang, Path planning of UAV base station based on deep reinforcement learning. Procedia Comput. Sci. 202, 89\u2013104 (2022). https:\/\/doi.org\/10.1016\/j.procs.2022.04.013","journal-title":"Procedia Comput. Sci."},{"key":"2222_CR27","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1016\/j.comcom.2021.07.006","volume":"177","author":"R Masroor","year":"2021","unstructured":"R. Masroor, M. Naeem, W. Ejaz, Efficient deployment of UAVs for disaster management: a multi-criterion optimization approach. Comput. Commun. 177, 185\u2013194 (2021). https:\/\/doi.org\/10.1016\/j.comcom.2021.07.006","journal-title":"Comput. Commun."},{"key":"2222_CR28","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.tra.2020.08.004","volume":"140","author":"IA Nemer","year":"2020","unstructured":"I.A. Nemer, T.R. Sheltami, A.S. Mahmoud, A game theoretic approach of deployment a multiple UAVs for optimal coverage. Transp. Res. Part A Policy Pract. 140, 215\u2013230 (2020). https:\/\/doi.org\/10.1016\/j.tra.2020.08.004","journal-title":"Transp. Res. Part A Policy Pract."},{"key":"2222_CR29","doi-asserted-by":"publisher","first-page":"203","DOI":"10.3390\/info13040203","volume":"13","author":"H Munir","year":"2022","unstructured":"H. Munir, B. Vogel, A. Jacobsson, Artificial intelligence and machine learning approaches in digital education: a systematic revision. Information 13, 203 (2022). https:\/\/doi.org\/10.3390\/info13040203","journal-title":"Information"},{"key":"2222_CR30","doi-asserted-by":"publisher","first-page":"253","DOI":"10.3390\/info13050253","volume":"13","author":"K Kim","year":"2022","unstructured":"K. Kim, B. Kim, Decision-making model for reinforcing digital transformation strategies based on artificial intelligence technology. Information 13, 253 (2022). https:\/\/doi.org\/10.3390\/info13050253","journal-title":"Information"},{"key":"2222_CR31","doi-asserted-by":"publisher","unstructured":"H. Qu, W. Zhang, J. Zhao, Z. Luan, C. Chang, Rapid deployment of UAVs based on bandwidth resources in emergency scenarios. in 2020 Information Communication Technologies Conference (ICTC) (2020). pp. 86\u201390. https:\/\/doi.org\/10.1109\/ICTC49638.2020.9123274","DOI":"10.1109\/ICTC49638.2020.9123274"},{"key":"2222_CR32","doi-asserted-by":"publisher","first-page":"180","DOI":"10.3390\/info13040180","volume":"13","author":"G Haisa","year":"2022","unstructured":"G. Haisa, G. Altenbek, Deep learning with word embedding improves Kazakh named-entity recognition. Information 13, 180 (2022). https:\/\/doi.org\/10.3390\/info13040180","journal-title":"Information"},{"key":"2222_CR33","doi-asserted-by":"crossref","unstructured":"Z. Yuheng, Z. Liyan, L. Chunpeng, 3-D deployment optimization of UAVs based on particle swarm algorithm. in 2019 IEEE 19th International Conference on Communication Technology (2019) pp. 954\u2013957","DOI":"10.1109\/ICCT46805.2019.8947140"},{"key":"2222_CR34","doi-asserted-by":"publisher","first-page":"1559","DOI":"10.1007\/s13369-021-05932-w","volume":"47","author":"S Ben Aissa","year":"2022","unstructured":"S. Ben Aissa, A. Ben Letaifa, UAV communications with machine learning: challenges, applications and open issues. Arab. J. Sci. Eng. 47, 1559\u20131579 (2022). https:\/\/doi.org\/10.1007\/s13369-021-05932-w","journal-title":"Arab. J. Sci. Eng."},{"key":"2222_CR35","doi-asserted-by":"publisher","first-page":"2981","DOI":"10.1109\/TCOMM.2018.2889460","volume":"67","author":"J Sun","year":"2019","unstructured":"J. Sun, C. Masouros, Deployment strategies of multiple aerial BSs for user coverage and power efficiency maximization. IEEE Trans. Commun. 67, 2981\u20132994 (2019). https:\/\/doi.org\/10.1109\/TCOMM.2018.2889460","journal-title":"IEEE Trans. Commun."},{"key":"2222_CR36","doi-asserted-by":"publisher","first-page":"112304","DOI":"10.1007\/s11432-020-3170-2","volume":"65","author":"X Lu","year":"2022","unstructured":"X. Lu, J. Jie, Z. Lin, L. Xiao, J. Li, Y. Zhang, Reinforcement learning based energy efficient robot relay for unmanned aerial vehicles against smart jamming. Sci. China Inf. Sci. 65, 112304 (2022). https:\/\/doi.org\/10.1007\/s11432-020-3170-2","journal-title":"Sci. China Inf. Sci."},{"key":"2222_CR37","doi-asserted-by":"publisher","first-page":"2704","DOI":"10.1109\/TII.2021.3087726","volume":"18","author":"W Lu","year":"2022","unstructured":"W. Lu, Y. Ding, Y. Gao, S. Hu, Y. Wu, N. Zhao, Y. Gong, Resource and trajectory optimization for secure communications in dual unmanned aerial vehicle mobile edge computing systems. IEEE Trans. Industr. Inf. 18, 2704\u20132713 (2022). https:\/\/doi.org\/10.1109\/TII.2021.3087726","journal-title":"IEEE Trans. Industr. Inf."},{"key":"2222_CR38","doi-asserted-by":"publisher","first-page":"3364","DOI":"10.1109\/TCOMM.2022.3159703","volume":"70","author":"W Lu","year":"2022","unstructured":"W. Lu, Y. Ding, Y. Gao, Y. Chen, N. Zhao, Z. Ding, A. Nallanathan, Secure NOMA-based UAV-MEC network towards a flying eavesdropper. IEEE Trans. Commun. 70, 3364\u20133376 (2022). https:\/\/doi.org\/10.1109\/TCOMM.2022.3159703","journal-title":"IEEE Trans. Commun."},{"key":"2222_CR39","doi-asserted-by":"publisher","unstructured":"W. Lu, Y. Mo, Y. Feng, Y. Gao, N. Zhao, Y. Wu, A. Nallanathan, Secure transmission for multi-UAV-assisted mobile edge computing based on reinforcement learning. IEEE Transactions on Network Science and Engineering. https:\/\/doi.org\/10.1109\/TNSE.2022.3185130","DOI":"10.1109\/TNSE.2022.3185130"},{"key":"2222_CR40","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1687-1499-2014-189","volume":"14","author":"A Merwaday","year":"2014","unstructured":"A. Merwaday, S. Mukherjee, Capacity analysis of LET-advanced hetnets with reduced power subframes and range expansion. EURASIP J. Wirel. Commun. Netw. 14, 1\u201319 (2014). https:\/\/doi.org\/10.1186\/1687-1499-2014-189","journal-title":"EURASIP J. Wirel. Commun. Netw."}],"container-title":["EURASIP Journal on Wireless Communications and Networking"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13638-023-02222-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s13638-023-02222-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13638-023-02222-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,23]],"date-time":"2023-01-23T11:06:25Z","timestamp":1674471985000},"score":1,"resource":{"primary":{"URL":"https:\/\/jwcn-eurasipjournals.springeropen.com\/articles\/10.1186\/s13638-023-02222-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,23]]},"references-count":40,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2023,12]]}},"alternative-id":["2222"],"URL":"https:\/\/doi.org\/10.1186\/s13638-023-02222-x","relation":{},"ISSN":["1687-1499"],"issn-type":[{"value":"1687-1499","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,23]]},"assertion":[{"value":"3 October 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 January 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 January 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"21"}}