{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T22:11:05Z","timestamp":1769897465274,"version":"3.49.0"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032145338","type":"print"},{"value":"9783032145345","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-14534-5_22","type":"book-chapter","created":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T09:23:38Z","timestamp":1769851418000},"page":"264-275","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Proximity Aware Bi-objective Edge Server Placement in\u00a0Scalable Internet of\u00a0Vehicles Environment"],"prefix":"10.1007","author":[{"given":"Tom","family":"Kurian","sequence":"first","affiliation":[]},{"given":"John Paul","family":"Martin","sequence":"additional","affiliation":[]},{"given":"Christina Terese","family":"Joseph","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,2,1]]},"reference":[{"key":"22_CR1","unstructured":"Current IoT Forecast Highlights - Transforma Insights\u2014transformainsights.com (2024). https:\/\/transformainsights.com\/research\/forecast\/highlights. Accessed 15 July 2024"},{"key":"22_CR2","doi-asserted-by":"publisher","unstructured":"Akhpashev, R.V., Andreev, A.V.: Cost 231 hata adaptation model for urban conditions in LTE networks. In: 2016 17th International Conference of Young Specialists on Micro\/Nanotechnologies and Electron Devices (EDM), pp. 64\u201366 (2016). https:\/\/doi.org\/10.1109\/EDM.2016.7538693","DOI":"10.1109\/EDM.2016.7538693"},{"issue":"2","key":"22_CR3","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182\u2013197 (2002). https:\/\/doi.org\/10.1109\/4235.996017","journal-title":"IEEE Trans. Evol. Comput."},{"key":"22_CR4","doi-asserted-by":"crossref","unstructured":"Deb, K., Rao\u00a0N., U.B., Karthik, S.: Dynamic multi-objective optimization and decision-making using modified NSGA-II: a case study on hydro-thermal power scheduling. In: Obayashi, S., Deb, K., Poloni, C., Hiroyasu, T., Murata, T. (eds.) Evolutionary Multi-Criterion Optimization, pp. 803\u2013817. Springer, Heidelberg (2007)","DOI":"10.1007\/978-3-540-70928-2_60"},{"key":"22_CR5","doi-asserted-by":"publisher","unstructured":"Deb, K., Sindhya, K., Okabe, T.: Self-adaptive simulated binary crossover for real-parameter optimization. In: Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation, GECCO 2007, pp. 1187\u20131194. Association for Computing Machinery, New York (2007). https:\/\/doi.org\/10.1145\/1276958.1277190","DOI":"10.1145\/1276958.1277190"},{"key":"22_CR6","doi-asserted-by":"publisher","unstructured":"Gerla, M., Lee, E.K., Pau, G., Lee, U.: Internet of vehicles: from intelligent grid to autonomous cars and vehicular clouds. In: 2014 IEEE World Forum on Internet of Things (WF-IoT), pp. 241\u2013246 (2014). https:\/\/doi.org\/10.1109\/WF-IoT.2014.6803166","DOI":"10.1109\/WF-IoT.2014.6803166"},{"key":"22_CR7","doi-asserted-by":"publisher","unstructured":"Hong, C.H., Varghese, B.: Resource management in fog\/edge computing: a survey on architectures, infrastructure, and algorithms. ACM Comput. Surv. 52(5) (2019). https:\/\/doi.org\/10.1145\/3326066","DOI":"10.1145\/3326066"},{"key":"22_CR8","doi-asserted-by":"publisher","unstructured":"Lu, J., Jiang, J., Balasubramanian, V., Khosravi, M.R., Xu, X.: Deep reinforcement learning-based multi-objective edge server placement in internet of vehicles. Comput. Commun. 187, 172\u2013180 (2022). https:\/\/doi.org\/10.1016\/j.comcom.2022.02.011. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0140366422000548","DOI":"10.1016\/j.comcom.2022.02.011"},{"key":"22_CR9","doi-asserted-by":"publisher","unstructured":"Sahni, Y., Cao, J., Yang, L., Wang, S.: Distributed resource scheduling in edge computing: problems, solutions, and opportunities. Comput. Netw. 219, 109430 (2022). https:\/\/doi.org\/10.1016\/j.comnet.2022.109430","DOI":"10.1016\/j.comnet.2022.109430"},{"key":"22_CR10","doi-asserted-by":"publisher","unstructured":"Shen, B., Xu, X., Qi, L., Zhang, X., Srivastava, G.: Dynamic server placement in edge computing toward internet of vehicles. Comput. Commun. 178, 114\u2013123 (2021). https:\/\/doi.org\/10.1016\/j.comcom.2021.07.021. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0140366421002814","DOI":"10.1016\/j.comcom.2021.07.021"},{"issue":"8","key":"22_CR11","doi-asserted-by":"publisher","first-page":"6239","DOI":"10.1109\/JIOT.2021.3110913","volume":"9","author":"A Talpur","year":"2022","unstructured":"Talpur, A., Gurusamy, M.: DRLD-SP: a deep-reinforcement-learning-based dynamic service placement in edge-enabled internet of vehicles. IEEE Internet Things J. 9(8), 6239\u20136251 (2022). https:\/\/doi.org\/10.1109\/JIOT.2021.3110913","journal-title":"IEEE Internet Things J."},{"key":"22_CR12","doi-asserted-by":"publisher","unstructured":"Wang, Y., Tang, Z., Huang, A., Zhang, H., Chang, L., Pan, J.: Placement of UAV-mounted edge servers for internet of vehicles. IEEE Trans. Veh. Technol. 1\u201315 (2024). https:\/\/doi.org\/10.1109\/TVT.2024.3368407","DOI":"10.1109\/TVT.2024.3368407"},{"key":"22_CR13","doi-asserted-by":"publisher","unstructured":"Xin, Q., Alazab, M., Gonz\u00e1lez Crespo, R., Enrique Montenegro-Marin, C.: AI-based quality of service optimization for multimedia transmission on internet of vehicles (IoV) systems. Sustain. Energy Technol. Assess. 52, 102055 (2022). https:\/\/doi.org\/10.1016\/j.seta.2022.102055. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2213138822001072","DOI":"10.1016\/j.seta.2022.102055"},{"key":"22_CR14","doi-asserted-by":"publisher","unstructured":"Xu, C.: Taxi trajectory (2020). https:\/\/doi.org\/10.21227\/hrtq-xr22","DOI":"10.21227\/hrtq-xr22"}],"container-title":["Communications in Computer and Information Science","Machine Learning, Image Processing, Network Security and Data Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-14534-5_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T09:23:40Z","timestamp":1769851420000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-14534-5_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032145338","9783032145345"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-14534-5_22","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"1 February 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MIND","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Machine Learning, Image Processing, Network Security and Data Sciences","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Goa","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","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":"20 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mind2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/mind2024.mind-society.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}