{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T08:22:16Z","timestamp":1774858936031,"version":"3.50.1"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T00:00:00Z","timestamp":1770163200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T00:00:00Z","timestamp":1770940800000},"content-version":"vor","delay-in-days":9,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100010198","name":"Ministerio de Asuntos Econ\u00f3micos y Transformaci\u00f3n Digital, Gobierno de Espa\u00f1a","doi-asserted-by":"publisher","award":["PID2021-123627OB-C52"],"award-info":[{"award-number":["PID2021-123627OB-C52"]}],"id":[{"id":"10.13039\/501100010198","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010198","name":"Ministerio de Asuntos Econ\u00f3micos y Transformaci\u00f3n Digital, Gobierno de Espa\u00f1a","doi-asserted-by":"publisher","award":["PLEC2023-01034"],"award-info":[{"award-number":["PLEC2023-01034"]}],"id":[{"id":"10.13039\/501100010198","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007480","name":"Universidad de Castilla-La Mancha","doi-asserted-by":"publisher","award":["2023-GRIN-34056"],"award-info":[{"award-number":["2023-GRIN-34056"]}],"id":[{"id":"10.13039\/501100007480","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Intell Robot Syst"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    In wireless sensor networks, unmanned aerial vehicles play a critical role in enhancing network throughput and extending network lifetime, as sensor nodes are constrained by limited energy resources. In this paper, we aim to minimize the UAV\u2019s trajectory in a data collection mission. First, an efficient clustering algorithm is proposed to partition sensors into clusters within a radius\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\varvec{R}$$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:mrow>\n                            <mml:mi>R<\/mml:mi>\n                          <\/mml:mrow>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    , minimizing the number of hovering locations (HLs). Then, the UAV\u2019s trajectory is optimized using both exact and heuristic approaches to solve the Traveling Salesman Problem (TSP). The Ant Colony Optimization (ACO) algorithm is employed to plan the UAV\u2019s path, achieving near-optimal performance with a total flight distance only 3.42% longer than that obtained by the exact optimization method. Finally, a refinement algorithm is introduced to adjust the initial HLs and obtain an improved set of final hovering locations (HLs-F), further reducing the UAV\u2019s flight distance. Numerical results show that the proposed clustering method generates a smaller number of HLs compared to the adaptive\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\varvec{K}$$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:mrow>\n                            <mml:mi>K<\/mml:mi>\n                          <\/mml:mrow>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    -means, while the refinement algorithm applied to obtain the final HLs-F leads to significant reductions in trajectory length, thereby reducing the overall energy consumption.\n                  <\/jats:p>","DOI":"10.1007\/s10846-026-02359-z","type":"journal-article","created":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T12:09:22Z","timestamp":1770206962000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["UAV Placement Optimization and Data Collection for Wireless Sensor Networks"],"prefix":"10.1007","volume":"112","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-5462-7585","authenticated-orcid":false,"given":"Adil","family":"Elidrissi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rafael","family":"Casado","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdelkrim","family":"Haqiq","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luis","family":"Orozco-Barbosa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,2,4]]},"reference":[{"issue":"12","key":"2359_CR1","doi-asserted-by":"publisher","first-page":"2327","DOI":"10.1109\/JPROC.2019.2952892","volume":"107","author":"Y Zeng","year":"2019","unstructured":"Zeng, Y., Wu, Q., Zhang, R.: Accessing from the sky: A tutorial on uav communications for 5g and beyond. Proceed. IEEE. 107(12), 2327\u20132375 (2019). https:\/\/doi.org\/10.1109\/JPROC.2019.2952892","journal-title":"Proceed. IEEE."},{"key":"2359_CR2","doi-asserted-by":"publisher","unstructured":"Bor-Yaliniz, R.I., El-Keyi, A., Yanikomeroglu, H.: Efficient 3-d placement of an aerial base station in next generation cellular networks. In: 2016 IEEE International Conference on Communications (ICC), pp. 1\u20135 (2016). https:\/\/doi.org\/10.13140\/RG.2.1.1652.4568\/2","DOI":"10.13140\/RG.2.1.1652.4568\/2"},{"key":"2359_CR3","doi-asserted-by":"publisher","first-page":"3113","DOI":"10.3390\/s20113113","volume":"20","author":"S Ullo","year":"2020","unstructured":"Ullo, S., Sinha, P.G.: Advances in smart environment monitoring systems using iot and sensors. Sensors. 20, 3113 (2020). https:\/\/doi.org\/10.3390\/s20113113","journal-title":"Sensors."},{"key":"2359_CR4","doi-asserted-by":"publisher","unstructured":"Mkiramweni, M., Yang, C., Li, J., Zhang, W.: A survey of game theory in unmanned aerial vehicles communications. IEEE Commun. Surv. Tutorials. pp. 3386\u20133416 (2019). https:\/\/doi.org\/10.1109\/COMST.2019.2919613","DOI":"10.1109\/COMST.2019.2919613"},{"key":"2359_CR5","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.compag.2015.09.024","volume":"119","author":"J Polo","year":"2015","unstructured":"Polo, J., Hornero, G., Duijneveld, C., Garc\u00eda, A., Casas, O.: Design of a low-cost wireless sensor network with uav mobile node for agricultural applications. Comput. Electron. Agric. 119, 19\u201332 (2015). https:\/\/doi.org\/10.1016\/j.compag.2015.09.024","journal-title":"Comput. Electron. Agric."},{"key":"2359_CR6","doi-asserted-by":"publisher","unstructured":"Pang, Y., Zhang, Y., Gu, Y., Pan, M., Han, Z., Li, P.: Efficient data collection for wireless rechargeable sensor clusters in harsh terrains using UAVs. In: 2014 IEEE Global Communications Conference, pp. 234\u2013239 (2014). https:\/\/doi.org\/10.1109\/GLOCOM.2014.7036813","DOI":"10.1109\/GLOCOM.2014.7036813"},{"key":"2359_CR7","doi-asserted-by":"publisher","unstructured":"Alfattani, S., Jaafar, W., Yanikomeroglu, H., Yongacoglu, A.: Multi-uav data collection framework for wireless sensor networks. In: 2019 IEEE Global Communications Conference (GLOBECOM), pp. 1\u20136 (2019). https:\/\/doi.org\/10.48550\/arXiv.1910.10792","DOI":"10.48550\/arXiv.1910.10792"},{"key":"2359_CR8","doi-asserted-by":"publisher","unstructured":"Binol, H., Bulut, E., Akkaya, K., Guvenc, I.: Time optimal multi-uav path planning for gathering its data from roadside units. In: 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), pp. 1\u20135 (2018). https:\/\/doi.org\/10.1109\/VTCFall.2018.8690730","DOI":"10.1109\/VTCFall.2018.8690730"},{"issue":"4","key":"2359_CR9","doi-asserted-by":"publisher","first-page":"1785","DOI":"10.1007\/s11276-022-02934-w","volume":"28","author":"K Saxena","year":"2022","unstructured":"Saxena, K., Gupta, N., Gupta, J., Sharma, D.K., Dev, K.: Trajectory optimization for the uav assisted data collection in wireless sensor networks. Wireless Netw. 28(4), 1785\u20131796 (2022). https:\/\/doi.org\/10.1007\/s11276-022-02934-w","journal-title":"Wireless Netw."},{"issue":"4","key":"2359_CR10","doi-asserted-by":"publisher","first-page":"2100","DOI":"10.1109\/TITS.2020.3040557","volume":"22","author":"X Li","year":"2020","unstructured":"Li, X., Tan, J., Liu, A., Vijayakumar, P., Kumar, N., Alazab, M.: A novel uav-enabled data collection scheme for intelligent transportation system through uav speed control. IEEE Trans. Intell. Transportation Syst. 22(4), 2100\u20132110 (2020). https:\/\/doi.org\/10.1109\/TITS.2020.3040557","journal-title":"IEEE Trans. Intell. Transportation Syst."},{"key":"2359_CR11","doi-asserted-by":"publisher","unstructured":"Wang, K., Tang, Z., Liu, P., Cong, Y., Wang, X., Kong, D., Li, Y.: Uav-based and energy-constrained data collection system with trajectory, time, and collection scheduling optimization. In: 2021 IEEE\/CIC International Conference on Communications in China (ICCC), pp. 893\u2013898 (2021). https:\/\/doi.org\/10.1109\/ICCC52777.2021.9580291","DOI":"10.1109\/ICCC52777.2021.9580291"},{"issue":"10","key":"2359_CR12","doi-asserted-by":"publisher","first-page":"4798","DOI":"10.3837\/tiis.2017.10.006","volume":"11","author":"T Alhmiedat","year":"2017","unstructured":"Alhmiedat, T.: Low-power environmental monitoring system for zigbee wireless sensor network. KSII Trans. Int. Inf. Syst. 11(10), 4798\u20134815 (2017). https:\/\/doi.org\/10.3837\/tiis.2017.10.006","journal-title":"KSII Trans. Int. Inf. Syst."},{"key":"2359_CR13","doi-asserted-by":"publisher","unstructured":"Alhmiedat, T.: An adaptive energy-efficient data collection system for zigbee wireless sensor networks. Int. J. Distributed Sensor Netw. 2015, 1\u201312 (2015) https:\/\/doi.org\/10.1155\/2015\/734937","DOI":"10.1155\/2015\/734937"},{"issue":"9","key":"2359_CR14","doi-asserted-by":"publisher","first-page":"1942","DOI":"10.1109\/JSAC.2018.2864420","volume":"36","author":"J Gong","year":"2018","unstructured":"Gong, J., Chang, T.-H., Shen, C., Chen, X.: Flight time minimization of uav for data collection over wireless sensor networks. IEEE J. Selected Areas Commun. 36(9), 1942\u20131952 (2018). https:\/\/doi.org\/10.1109\/JSAC.2018.2864420","journal-title":"IEEE J. Selected Areas Commun."},{"issue":"3","key":"2359_CR15","doi-asserted-by":"publisher","first-page":"1155","DOI":"10.1007\/s11227-014-1161-6","volume":"50","author":"M Dong","year":"2014","unstructured":"Dong, M., Kim, S.-J., Mizuno, H.: UAV-assisted Data Gathering in Wireless Sensor Networks. IEEE Trans. Aerospace Electronic Syst. 50(3), 1155\u20131167 (2014). https:\/\/doi.org\/10.1007\/s11227-014-1161-6","journal-title":"IEEE Trans. Aerospace Electronic Syst."},{"key":"2359_CR16","doi-asserted-by":"publisher","unstructured":"Ho, D.-T., Grotli, E.I., Sujit, P.B., Johansen, T.A., Borges\u00a0Sousa, J.: Optimization of wireless sensor network and uav data acquisition. (2014). https:\/\/doi.org\/10.1007\/s10846-015-0175-5arXiv:1403.1234","DOI":"10.1007\/s10846-015-0175-5"},{"issue":"1","key":"2359_CR17","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1109\/TMC.2021.3084972","volume":"22","author":"Y Li","year":"2021","unstructured":"Li, Y., Liang, W., Xu, W., Xu, Z., Jia, X., Xu, Y., Kan, H.: Data collection maximization in iot-sensor networks via an energy-constrained uav. IEEE Trans. Mobile Comput. 22(1), 159\u2013174 (2021). https:\/\/doi.org\/10.1109\/TMC.2021.3084972","journal-title":"IEEE Trans. Mobile Comput."},{"issue":"6","key":"2359_CR18","doi-asserted-by":"publisher","first-page":"3016","DOI":"10.1109\/TAES.2019.2917578","volume":"55","author":"P Maini","year":"2019","unstructured":"Maini, P., Sundar, K., Singh, M., Rathinam, S., Sujit, P.B.: Cooperative aerial\u2013ground vehicle route planning with fuel constraints for coverage applications. IEEE Trans. Aerospace Electronic Syst. 55(6), 3016\u20133028 (2019). https:\/\/doi.org\/10.1109\/TAES.2019.2917578","journal-title":"IEEE Trans. Aerospace Electronic Syst."},{"issue":"1","key":"2359_CR19","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1016\/j.ifacol.2016.03.086","volume":"49","author":"S Singh","year":"2016","unstructured":"Singh, S., Sujit, P.B.: Landmarks based path planning for uavs in gps-denied areas. IFAC-PapersOnLine. 49(1), 396\u2013400 (2016). https:\/\/doi.org\/10.1016\/j.ifacol.2016.03.086","journal-title":"IFAC-PapersOnLine."},{"key":"2359_CR20","doi-asserted-by":"publisher","unstructured":"Sharma, A.M.R., Baliyarasimhuni, S.: Multi-aav cooperative path planning using nonlinear model predictive control with localization constraints. IEEE Trans. Intell. Transportation Syst. 25(8), 9463\u20139475 (2024). https:\/\/doi.org\/10.48550\/arXiv.2201.09285","DOI":"10.48550\/arXiv.2201.09285"},{"issue":"6","key":"2359_CR21","doi-asserted-by":"publisher","first-page":"569","DOI":"10.1109\/LWC.2014.2342736","volume":"3","author":"A Al-Hourani","year":"2014","unstructured":"Al-Hourani, A., Kandeepan, S., Lardner, S.: Optimal lap altitude for maximum coverage. IEEE Wireless Commun. Lett. 3(6), 569\u2013572 (2014). https:\/\/doi.org\/10.1109\/LWC.2014.2342736","journal-title":"IEEE Wireless Commun. Lett."},{"key":"2359_CR22","doi-asserted-by":"publisher","unstructured":"Mozaffari, M., Saad, W., Bennis, M., Debbah, M.: Mobile internet of things: Can uavs provide an energy-efficient mobile architecture? In: 2016 IEEE Global Communications Conference (GLOBECOM), pp. 1\u20136 (2016). https:\/\/doi.org\/10.1109\/GLOCOM.2016.7841993","DOI":"10.1109\/GLOCOM.2016.7841993"},{"issue":"11","key":"2359_CR23","doi-asserted-by":"publisher","first-page":"10834","DOI":"10.1109\/TVT.2019.2939186","volume":"68","author":"MF Sohail","year":"2019","unstructured":"Sohail, M.F., Leow, C.Y., Won, S.: Energy-efficient non-orthogonal multiple access for uav communication system. IEEE Trans. Vehic. Technol. 68(11), 10834\u201310845 (2019). https:\/\/doi.org\/10.1109\/TVT.2019.2939186","journal-title":"IEEE Trans. Vehic. Technol."},{"issue":"1","key":"2359_CR24","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1109\/TNET.2009.2012474","volume":"17","author":"A Srinivas","year":"2009","unstructured":"Srinivas, A., Zussman, G., Modiano, E.: Construction and maintenance of wireless mobile backbone networks. IEEE\/ACM Trans. Netw. 17(1), 239\u2013252 (2009). https:\/\/doi.org\/10.1109\/TNET.2009.2012474","journal-title":"IEEE\/ACM Trans. Netw."},{"issue":"8","key":"2359_CR25","doi-asserted-by":"publisher","first-page":"1295","DOI":"10.3390\/electronics9081295","volume":"9","author":"M Ahmed","year":"2020","unstructured":"Ahmed, M., Seraj, R., Islam, S.M.S.: The k-means algorithm: A comprehensive survey and performance evaluation. Electronics 9(8), 1295 (2020). https:\/\/doi.org\/10.3390\/electronics9081295","journal-title":"Electronics"},{"key":"2359_CR26","doi-asserted-by":"publisher","first-page":"3960","DOI":"10.1007\/s11227-016-1739-2","volume":"72","author":"S Deb","year":"2016","unstructured":"Deb, S., Fong, S., Tian, Z., Wong, R.K., Mohammed, S., Fiaidhi, J.: Finding approximate solutions of np-hard optimization and tsp problems using elephant search algorithm. J. Supercomput. 72, 3960\u20133992 (2016). https:\/\/doi.org\/10.1007\/s11227-016-1739-2","journal-title":"J. Supercomput."},{"issue":"1","key":"2359_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.5772\/12909","volume":"1","author":"R Matai","year":"2010","unstructured":"Matai, R., Singh, S.P., Mittal, M.L.: Traveling salesman problem: an overview of applications, formulations, and solution approaches. Traveling Salesman Problem, Theory Appl. 1(1), 1\u201325 (2010). https:\/\/doi.org\/10.5772\/12909","journal-title":"Traveling Salesman Problem, Theory Appl."},{"key":"2359_CR28","doi-asserted-by":"publisher","unstructured":"Lambora, A., Gupta, K., Chopra, K.: Genetic algorithm-a literature review. In: 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), pp. 380\u2013384 (2019). https:\/\/doi.org\/10.1109\/COMITCon.2019.8862255","DOI":"10.1109\/COMITCon.2019.8862255"},{"key":"2359_CR29","doi-asserted-by":"publisher","unstructured":"Kim, C., Batra, R., Chen, L., Tran, H., Ramprasad, R.: Polymer design using genetic algorithm and machine learning. Computat. Mater. Sci. 186, 110067 (2021) https:\/\/doi.org\/10.1016\/j.commatsci.2020.110067","DOI":"10.1016\/j.commatsci.2020.110067"},{"key":"2359_CR30","doi-asserted-by":"publisher","unstructured":"Gnanaprasanambikai, L., Munusamy, N.: Survey of genetic algorithm effectiveness in intrusion detection. In: 2017 International Conference on Intelligent Computing and Control (I2C2), pp. 1\u20135 (2017). https:\/\/doi.org\/10.1109\/I2C2.2017.8321877","DOI":"10.1109\/I2C2.2017.8321877"},{"key":"2359_CR31","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1007\/s41870-019-00377-9","volume":"12","author":"T Alzyadat","year":"2020","unstructured":"Alzyadat, T., Yamin, M., Chetty, G.: Genetic algorithms for the travelling salesman problem: a crossover comparison. Int. J. Inf. Technol. 12, 209\u2013213 (2020). https:\/\/doi.org\/10.1007\/s41870-019-00377-9","journal-title":"Int. J. Inf. Technol."},{"issue":"3","key":"2359_CR32","doi-asserted-by":"publisher","first-page":"1879","DOI":"10.1016\/j.eswa.2009.07.082","volume":"37","author":"C-K Ting","year":"2010","unstructured":"Ting, C.-K., Su, C.-H., Lee, C.-N.: Multi-parent extension of partially mapped crossover for combinatorial optimization problems. Expert Syst. Appl. 37(3), 1879\u20131886 (2010). https:\/\/doi.org\/10.1016\/j.eswa.2009.07.082","journal-title":"Expert Syst. Appl."},{"issue":"1","key":"2359_CR33","first-page":"47","volume":"3","author":"K Deep","year":"2012","unstructured":"Deep, K., Mebrahtu, H.: Variant of partially mapped crossover for the travelling salesman problems. Int. J. Combinatorial Optimization Problems Inf. 3(1), 47\u201369 (2012)","journal-title":"Int. J. Combinatorial Optimization Problems Inf."},{"key":"2359_CR34","unstructured":"Suliman, S.I., Kendall, G., Musirin, I.: Optimizing channel allocation in wireless communication using single-swap mutation based heuristic. In: 2013 15th International Conference on Advanced Communications Technology (ICACT), pp. 774\u2013778 (2013)"},{"issue":"17","key":"2359_CR35","doi-asserted-by":"publisher","first-page":"8392","DOI":"10.3390\/app12178392","volume":"12","author":"M Jain","year":"2022","unstructured":"Jain, M., Saihjpal, V., Singh, N., Singh, S.B.: An overview of variants and advancements of pso algorithm. Appl. Sci. 12(17), 8392 (2022). https:\/\/doi.org\/10.3390\/app12178392","journal-title":"Appl. Sci."},{"issue":"5","key":"2359_CR36","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/j.ipl.2007.03.010","volume":"103","author":"XH Shi","year":"2007","unstructured":"Shi, X.H., Liang, Y.C., Lee, H.P., Lu, C., Wang, Q.: Particle swarm optimization-based algorithms for tsp and generalized tsp. Inf. Process. Lett. 103(5), 169\u2013176 (2007). https:\/\/doi.org\/10.1016\/j.ipl.2007.03.010","journal-title":"Inf. Process. Lett."},{"key":"2359_CR37","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2016\/1712630","volume":"2016","author":"S-H Zhan","year":"2016","unstructured":"Zhan, S.-H., Lin, S., Zhang, Z.-J., Zhong, Y.: List-based simulated annealing algorithm for traveling salesman problem. Computat. Intell. Neurosci. 2016, 1\u201312 (2016). https:\/\/doi.org\/10.1155\/2016\/1712630","journal-title":"Computat. Intell. Neurosci."},{"key":"2359_CR38","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2021\/6610670","volume":"2021","author":"Y Tamura","year":"2021","unstructured":"Tamura, Y., Sakiyama, T., Arizono, I.: Ant colony optimization using common social information and self-memory. Complexity 2021, 1\u20137 (2021). https:\/\/doi.org\/10.1155\/2021\/6610670","journal-title":"Complexity"},{"key":"2359_CR39","doi-asserted-by":"publisher","unstructured":"Li, B., qi, X., Yu, B., Liu, L.: Trajectory planning for uav based on improved aco algorithm. IEEE Access. pp. 1\u20131 (2019). https:\/\/doi.org\/10.1109\/ACCESS.2019.2962340","DOI":"10.1109\/ACCESS.2019.2962340"}],"container-title":["Journal of Intelligent &amp; Robotic Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10846-026-02359-z","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10846-026-02359-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10846-026-02359-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T07:39:25Z","timestamp":1774856365000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10846-026-02359-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,4]]},"references-count":39,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,3]]}},"alternative-id":["2359"],"URL":"https:\/\/doi.org\/10.1007\/s10846-026-02359-z","relation":{},"ISSN":["1573-0409"],"issn-type":[{"value":"1573-0409","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,4]]},"assertion":[{"value":"28 October 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 January 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 February 2026","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 have no relevant financial or non-financial interests to disclose.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}},{"value":"All authors agreed with the content and all gave explicit consent to submit.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to publish"}}],"article-number":"23"}}