{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T12:30:11Z","timestamp":1764333011656,"version":"3.40.3"},"publisher-location":"Cham","reference-count":39,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030727918"},{"type":"electronic","value":"9783030727925"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-72792-5_55","type":"book-chapter","created":{"date-parts":[[2021,4,26]],"date-time":"2021-04-26T20:34:22Z","timestamp":1619469262000},"page":"704-715","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Research on Quantitative Models and Correlation of QoE Testing for Vehiclar Voice Cloud Services"],"prefix":"10.1007","author":[{"given":"Yuxin","family":"Li","sequence":"first","affiliation":[]},{"given":"Kailiang","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Lei","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Yuan","family":"An","sequence":"additional","affiliation":[]},{"given":"Ping","family":"Cui","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,4,27]]},"reference":[{"key":"55_CR1","doi-asserted-by":"crossref","unstructured":"Montero, R., Agraz, F., Pag\u00e8s, A., Spadaro, S.: End-to-End 5G service deployment and orchestration in optical networks with QoE guarantees. In: 2018 20th International Conference on Transparent Optical Networks (ICTON), Bucharest, pp. 1\u20134 (2018)","DOI":"10.1109\/ICTON.2018.8473996"},{"issue":"1","key":"55_CR2","first-page":"196","volume":"7","author":"F Wang","year":"2019","unstructured":"Wang, F., Jiang, D., Qi, S.: An adaptive routing algorithm for integrated information networks. China Commun. 7(1), 196\u2013207 (2019)","journal-title":"China Commun."},{"key":"55_CR3","first-page":"1","volume":"36","author":"L Huo","year":"2019","unstructured":"Huo, L., Jiang, D., Lv, Z., et al.: An intelligent optimization-based traffic information acquirement approach to software-defined networking. Comput. Intell. 36, 1\u201321 (2019)","journal-title":"Comput. Intell."},{"issue":"2","key":"55_CR4","doi-asserted-by":"publisher","first-page":"1310","DOI":"10.1109\/TII.2019.2930226","volume":"16","author":"D Jiang","year":"2020","unstructured":"Jiang, D., Wang, Y., Lv, Z., et al.: Big data analysis based network behavior insight of cellular networks for industry 4.0 applications. IEEE Trans. Ind. Inf. 16(2), 1310\u20131320 (2020)","journal-title":"IEEE Trans. Ind. Inf."},{"key":"55_CR5","doi-asserted-by":"crossref","unstructured":"Chen, L., Jiang, D., Song, H., Wang, P., Bao, R., Zhang, K., Li, Y.: A lightweight endside user experience data collection system for quality evaluation of multimedia communications. IEEE Access 6(1), 15408\u201315419 (2018)","DOI":"10.1109\/ACCESS.2018.2794354"},{"key":"55_CR6","doi-asserted-by":"publisher","unstructured":"Chen, L., Zhang, L.: Spectral efficiency analysis for massive MIMO system under QoS constraint: an effective capacity perspective. Mob. Netw. Appl. (2020). https:\/\/doi.org\/10.1007\/s11036-019-01414-4","DOI":"10.1007\/s11036-019-01414-4"},{"key":"55_CR7","doi-asserted-by":"crossref","unstructured":"Wang, F., Jiang, D., Qi, S., et al.: A dynamic resource scheduling scheme in edge computing satellite networks. Mob. Netw. Appl. (2019)","DOI":"10.1007\/s11036-019-01421-5"},{"issue":"10","key":"55_CR8","doi-asserted-by":"publisher","first-page":"3305","DOI":"10.1109\/TITS.2017.2778939","volume":"19","author":"D Jiang","year":"2018","unstructured":"Jiang, D., Huo, L., Lv, Z., et al.: A joint multi-criteria utility-based network selection approach for vehicle-to-infrastructure networking. IEEE Trans. Intell. Transp. Syst. 19(10), 3305\u20133319 (2018)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"55_CR9","unstructured":"Jiang, D., Wang, Y., Lv, Z., et al.: Intelligent optimization-based reliable energy-efficient networking in cloud services for IIoT networks. IEEE J. Sel. Areas Commun. (2019)"},{"key":"55_CR10","doi-asserted-by":"crossref","unstructured":"Jiang, D., Huo, L., Li,Y.: Fine-granularity inference and estimations to network traffic for SDN. Plos One 13(5), 1\u201323 (2018)","DOI":"10.1371\/journal.pone.0194302"},{"key":"55_CR11","doi-asserted-by":"crossref","unstructured":"Wang, Y., Jiang, D., Huo, L., et al.: A new traffic prediction algorithm to software defined networking. Mob. Netw. Appl. (2019)","DOI":"10.1007\/s11036-019-01423-3"},{"key":"55_CR12","doi-asserted-by":"crossref","unstructured":"Qi, S., Jiang, D., Huo,L.: A prediction approach to end-to-end traffic in space information networks. Mob. Netw. Appl. (2019)","DOI":"10.1007\/s11036-019-01424-2"},{"key":"55_CR13","doi-asserted-by":"crossref","unstructured":"Huo, L., Jiang, D., Qi, S., et al.: An AI-based adaptive cognitive modeling and measurement method of network traffic for EIS. Mob. Netw. Appl. (2019)","DOI":"10.1007\/s11036-019-01419-z"},{"key":"55_CR14","doi-asserted-by":"crossref","unstructured":"Mittag, G., M\u00f6ller, S.: Non-intrusive speech quality assessment for super-wideband speech communication networks. In: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, pp. 7125\u20137129 (2019)","DOI":"10.1109\/ICASSP.2019.8683770"},{"key":"55_CR15","doi-asserted-by":"crossref","unstructured":"Huo, L., Jiang, D., Zhu, X., et al.: An SDN-based fine-grained measurement and modeling approach to vehicular communication network traffic. Int. J. Commun. Syst., 1\u201312 (2019)","DOI":"10.1002\/dac.4092"},{"key":"55_CR16","doi-asserted-by":"crossref","unstructured":"Uhrig, S., M\u00f6ller, S., Behne, D.M., Svensson, U.P., Perkis, A.: Testing a quality of experience (QoE) model of loudspeaker-based spatial speech reproduction. In: 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX), Athlone, Ireland, pp. 1\u20136 (2020)","DOI":"10.1109\/QoMEX48832.2020.9123119"},{"key":"55_CR17","doi-asserted-by":"crossref","unstructured":"Kim, T., Nguyen-Duc, T.: OQR: on-demand QoS routing without traffic engineering in software defined networks. In: 2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft), Montreal, QC, pp. 362\u2013365 (2018)","DOI":"10.1109\/NETSOFT.2018.8460088"},{"key":"55_CR18","doi-asserted-by":"crossref","unstructured":"Jaiswal, K., Anand, V.: An optimal QoS-aware multipath routing protocol for IoT based wireless sensor networks. In: 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India, pp. 857\u2013860 (2019)","DOI":"10.1109\/ICECA.2019.8822173"},{"issue":"2","key":"55_CR19","first-page":"29","volume":"14","author":"L Skorin-Kapov","year":"2018","unstructured":"Skorin-Kapov, L., et al.: A survey of emerging concepts and challenges for QoE management of multimedia services. ACM Trans. Multimedia Comput. Commun. Appl. 14(2), 29 (2018)","journal-title":"ACM Trans. Multimedia Comput. Commun. Appl."},{"issue":"3","key":"55_CR20","first-page":"1","volume":"5","author":"D Jiang","year":"2018","unstructured":"Jiang, D., Wang, W., Shi, L., Song, H.: A compressive sensing-based approach to end-to-end network traffic reconstruction. IEEE Trans. Netw. Sci. Eng. 5(3), 1\u20132 (2018)","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"issue":"6","key":"55_CR21","doi-asserted-by":"publisher","first-page":"1437","DOI":"10.1109\/JIOT.2016.2613111","volume":"3","author":"D Jiang","year":"2018","unstructured":"Jiang, D., Zhang, P., Lv, Z., Song, H.: Energy-efficient multiconstraint routing algorithm with load balancing for smart city applications. IEEE Internet Things J 3(6), 1437\u20131447 (2018)","journal-title":"IEEE Internet Things J"},{"key":"55_CR22","doi-asserted-by":"crossref","unstructured":"Peng, X., Duan, Y., Geng, B., Liu, X., Tao, X., Ge, N.: A QoE-based alarm model for terminal video quality. In: 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Ottawa, ON, Canada, pp. 1\u20135 (2019)","DOI":"10.1109\/GlobalSIP45357.2019.8969366"},{"key":"55_CR23","doi-asserted-by":"crossref","unstructured":"Dias, A., Reis, A.B., Sargento, S.: Improving the QoE of OTT multimedia services in wireless scenarios. In: 2019 IEEE Symposium on Computers and Communications (ISCC), Barcelona, Spain, pp. 1\u20136 (2019)","DOI":"10.1109\/ISCC47284.2019.8969709"},{"issue":"5","key":"55_CR24","doi-asserted-by":"publisher","first-page":"1079","DOI":"10.1049\/cje.2017.07.018","volume":"26","author":"L Chen","year":"2017","unstructured":"Chen, L., Jiang, D., Bao, R., Xiong, J., Liu, F., Bei, L.: MIMO scheduling effectiveness analysis for bursty data service from view of QoE. Chin. J. Electron. 26(5), 1079\u20131085 (2017)","journal-title":"Chin. J. Electron."},{"issue":"2017","key":"55_CR25","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1016\/j.neucom.2016.07.056","volume":"220","author":"D Jiang","year":"2017","unstructured":"Jiang, D., Li, W., Lv, H.: An energy-efficient cooperative multicast routing in multi-hop wireless networks for smart medical applications. Neurocomputing 220(2017), 160\u2013169 (2017)","journal-title":"Neurocomputing"},{"key":"55_CR26","doi-asserted-by":"crossref","unstructured":"Reyes, J., L\u00f3pez, J., Kushik, N., Zeghlache, D.: On the assessment and debugging of QoE in SDN: work in progress. In: 2019 IEEE 18th International Symposium on Network Computing and Applications (NCA), Cambridge, MA, USA, pp. 1\u20133 (2019)","DOI":"10.1109\/NCA.2019.8935029"},{"issue":"2","key":"55_CR27","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1109\/TBC.2018.2816786","volume":"64","author":"J Nightingale","year":"2018","unstructured":"Nightingale, J., Salva-Garcia, P., Calero, J.M.A., Wang, Q.: 5G-QoE: QoE Modelling for ultra-HD video streaming in 5G networks. IEEE Trans Broadcasting 64(2), 621\u2013634 (2018)","journal-title":"IEEE Trans Broadcasting"},{"issue":"2","key":"55_CR28","first-page":"1","volume":"1","author":"H JiangD","year":"2018","unstructured":"JiangD, H.: Song H: rethinking behaviors and activities of base stations in mobile cellular networks based on big data analysis. IEEE Trans Netw Sci Eng 1(2), 1\u20132 (2018)","journal-title":"IEEE Trans Netw Sci Eng"},{"key":"55_CR29","doi-asserted-by":"crossref","unstructured":"Raiyn, J.: Using intelligent cooperative system for travel flow management in autonomous vehicle networks. In: 2018 UKSim-AMSS 20th International Conference on Computer Modelling and Simulation (UKSim), Cambridge, pp. 38\u201342 (2018)","DOI":"10.1109\/UKSim.2018.00019"},{"issue":"11","key":"55_CR30","doi-asserted-by":"publisher","first-page":"2484","DOI":"10.1109\/LCOMM.2017.2735958","volume":"21","author":"VS BritoI","year":"2017","unstructured":"BritoI, V.S., Figueiredo, G.B.: Improving QoS and QoE through seamless handoff in software-defined IEEE 802.11 mesh networks. IEEE Commun. Lett. 21(11), 2484\u20132487 (2017)","journal-title":"IEEE Commun. Lett."},{"key":"55_CR31","doi-asserted-by":"publisher","unstructured":"Zhang, K., Chen, L., An, Y., Cui, P.: A QoE test system for vehicular voice cloud services. Mob. Netw. Appl. (2019). https:\/\/doi.org\/10.1007\/s11036-019-01415-3","DOI":"10.1007\/s11036-019-01415-3"},{"key":"55_CR32","doi-asserted-by":"crossref","unstructured":"Belmoukadam, O., Spetebroot, T., Barakat, C.: ACQUA: a user friendly platform for lightweight network monitoring and QoE forecasting. In: 2019 22nd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN), Paris, France, pp. 88\u201393 (2019)","DOI":"10.1109\/ICIN.2019.8685878"},{"key":"55_CR33","doi-asserted-by":"crossref","unstructured":"Gomes, G.D., Flynn, R., Murray, N.: A QoE evaluation of an immersive virtual reality autonomous driving experience. In: 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX), Athlone, Ireland, pp. 1\u20134 (2020)","DOI":"10.1109\/QoMEX48832.2020.9123128"},{"key":"55_CR34","doi-asserted-by":"crossref","unstructured":"Wang, L., Yang, J., Song, X.: A QoE-driven spectrum decision scheme for multimedia transmissions over cognitive radio networks. In: 2017 26th International Conference on Computer Communication and Networks (ICCCN), Vancouver, BC, pp. 1\u20135 (2017)","DOI":"10.1109\/ICCCN.2017.8038356"},{"issue":"11","key":"55_CR35","doi-asserted-by":"publisher","first-page":"2549","DOI":"10.1109\/TMC.2018.2876000","volume":"18","author":"F Gringoli","year":"2019","unstructured":"Gringoli, F., Serrano, P., Ucar, I., Facchi, N., Azcorra, A.: Experimental QoE evaluation of multicast video delivery over IEEE 802.11aa WLANs. IEEE Trans. Mob. Comput. 18(11), 2549\u20132561 (2019)","journal-title":"IEEE Trans. Mob. Comput."},{"key":"55_CR36","doi-asserted-by":"crossref","unstructured":"Ciambrone, D., Tennina, S., Tsolkas, D., Pomante, L.: A QoE performance evaluation framework for LTE networks. In: 2018 IEEE 19th International Symposium on \u2018\u2018A World of Wireless, Mobile and Multimedia Networks\u2019\u2019 (WoWMoM), Chania, pp. 14\u201319 (2018)","DOI":"10.1109\/WoWMoM.2018.8449757"},{"key":"55_CR37","doi-asserted-by":"crossref","unstructured":"Ning, Z., Liu, Y., Wang, X., Feng, Y., Kong, X.: A novel QoS-Based QoE evaluation method for streaming video service. In: 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Exeter, pp. 956\u2013961 (2017)","DOI":"10.1109\/iThings-GreenCom-CPSCom-SmartData.2017.147"},{"key":"55_CR38","doi-asserted-by":"crossref","unstructured":"Gao, Y., Wu, W., Zhou, T., Na, J., Li, M., Sun, Y.: QoE-aware access node selection considering mobile edge computing. In: 2018 IEEE 4th International Conference on Computer and Communications (ICCC), Chengdu, China, pp. 1914\u20131918 (2018)","DOI":"10.1109\/CompComm.2018.8780640"},{"key":"55_CR39","unstructured":"ITU-T.P800.1. Mean Opinion Score (MOS) terminology, Geneva (2003)"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Simulation Tools and Techniques"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-72792-5_55","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,26]],"date-time":"2021-04-26T22:36:30Z","timestamp":1619476590000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-72792-5_55"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030727918","9783030727925"],"references-count":39,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-72792-5_55","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"27 April 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SIMUtools","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Simulation Tools and Techniques","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guiyang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 August 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"simutools2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/simutools.eai-conferences.org\/2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Confy +","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"354","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"125","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"35% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Due to COVID 19 pandemic the conference was held virtually.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}