{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T14:53:33Z","timestamp":1767192813128},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030050566"},{"type":"electronic","value":"9783030050573"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-05057-3_48","type":"book-chapter","created":{"date-parts":[[2018,12,7]],"date-time":"2018-12-07T00:52:26Z","timestamp":1544143946000},"page":"640-650","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["UAV 3D Mobility Model Oriented to Dynamic and Uncertain Environment"],"prefix":"10.1007","author":[{"given":"Na","family":"Wang","sequence":"first","affiliation":[]},{"given":"Nan","family":"Di","sequence":"additional","affiliation":[]},{"given":"Fei","family":"Dai","sequence":"additional","affiliation":[]},{"given":"Fangxin","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,12,7]]},"reference":[{"key":"48_CR1","doi-asserted-by":"crossref","unstructured":"Erturk, M., Haque, J., Arslan, H.: Challenges of aeronautical data networks. In: Proceedings of IEEE Aerospace Conference, Montana, pp. 1\u20137, March 2010","DOI":"10.1109\/AERO.2010.5446920"},{"issue":"10","key":"48_CR2","doi-asserted-by":"publisher","first-page":"155014771773819","DOI":"10.1177\/1550147717738192","volume":"13","author":"A Bujari","year":"2017","unstructured":"Bujari, A., Calafate, C.T., Cano, J.C., et al.: Flying ad-hoc network application scenarios and mobility models. Int. J. Distrib. Sens. Netw. 13(10), 155014771773819 (2017)","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"48_CR3","doi-asserted-by":"crossref","unstructured":"Zaouche, L., Natalizio, E., Bouabdallah, A.: ETTAF: efficient target tracking and filming with a flying ad hoc network. In: International Workshop on Experiences with the Design and Implementation of Smart Objects, pp. 49\u201354. ACM (2015)","DOI":"10.1145\/2797044.2797055"},{"issue":"3","key":"48_CR4","first-page":"15","volume":"31","author":"Z Sheng","year":"2017","unstructured":"Sheng, Z., Ming-hui, Y., Yi, H., et al.: An exploration of evaluation of mobility model based on analytic hierarchy process in opportunistic network. J. Nanchang Hangkong Univ. Nat. Sci. 31(3), 15\u201322 (2017)","journal-title":"J. Nanchang Hangkong Univ. Nat. Sci."},{"key":"48_CR5","unstructured":"Broyles, D., Jabbar, A., Sterbenz, D.: Design and analysis of a 3-D Gauss Markov mobility model for highly-dynamic airborne networks. In: International Telemetering Conference, Las Vegas, NV, October 2009"},{"key":"48_CR6","doi-asserted-by":"crossref","unstructured":"Rohrer, J.P.: AeroRP performance in highly-dynamic airborne networks using 3D Gauss-Markov mobility model. In: MILCOM 2011 Military Communications Conference, pp. 834\u2013841 (2011). ISSN 2155-7578, ISBN 9781467300797","DOI":"10.1109\/MILCOM.2011.6127781"},{"issue":"6","key":"48_CR7","first-page":"179","volume":"38","author":"B Zheng","year":"2011","unstructured":"Zheng, B., Zhang, H.Y., Huang, G.C., et al.: Design and implemention of a 3-D smooth mobility mode. J. Xidian Univ. 38(6), 179\u2013184 (2011)","journal-title":"J. Xidian Univ."},{"key":"48_CR8","doi-asserted-by":"crossref","unstructured":"Kuiper, E., Nadjm-Tehrani, S.: Mobility models for UAV group reconnaissance applications. In: International Conference on Wireless and Mobile Communications, p. 33. IEEE (2006)","DOI":"10.1109\/ICWMC.2006.63"},{"issue":"12","key":"48_CR9","first-page":"2826","volume":"35","author":"M He","year":"2014","unstructured":"He, M., Chen, Q.L., Chen, X.L., et al.: Fish swarm inspired Ad hoc networks node random mobility optimization model in 3D environment. Chin. J. Sci. Instrum. 35(12), 2826\u20132834 (2014)","journal-title":"Chin. J. Sci. Instrum."},{"key":"48_CR10","doi-asserted-by":"crossref","unstructured":"Regis, P.A., Bhunia, S., Sengupta, S.: Implementation of 3D obstacle compliant mobility models for UAV networks in ns-3, pp. 124\u2013131 (2016)","DOI":"10.1145\/2915371.2915384"},{"issue":"1","key":"48_CR11","first-page":"249","volume":"20","author":"F Belkhouche","year":"2012","unstructured":"Belkhouche, F., Bendjilali, B.: Reactive path planning for 3-D autonomous vehicles. IEEE Trans. Control Syst. Technol. 20(1), 249\u2013256 (2012)","journal-title":"IEEE Trans. Control Syst. Technol."},{"issue":"7","key":"48_CR12","first-page":"15","volume":"23","author":"Z Yi","year":"2016","unstructured":"Yi, Z., Fan-yu, D., Yuan, L.: A local path planning algorithm based on improved morphin search tree. Electr. Opt. Control 23(7), 15\u201319 (2016)","journal-title":"Electr. Opt. Control"},{"key":"48_CR13","doi-asserted-by":"crossref","unstructured":"Jenie, Y.I., Van Kampen, E.J., De Visser, C.C., et al.: Three-dimensional velocity obstacle method for UAV deconicting maneuvers. In: AIAA Guidance, Navigation and Control Conference, AIAA 2015-0592. AIAA Kissimmee (2015)","DOI":"10.2514\/6.2015-0592"},{"issue":"s1","key":"48_CR14","first-page":"112","volume":"40","author":"GM Zhang","year":"2017","unstructured":"Zhang, G.M., Wang, N., Wang, R., et al.: UAV 3D mobility model based on visit density. J. Beijing Univ. Posts Telecommun. 40(s1), 112\u2013116 (2017)","journal-title":"J. Beijing Univ. Posts Telecommun."}],"container-title":["Lecture Notes in Computer Science","Algorithms and Architectures for Parallel Processing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-05057-3_48","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,6]],"date-time":"2019-11-06T23:25:08Z","timestamp":1573082708000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-05057-3_48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030050566","9783030050573"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-05057-3_48","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"ICA3PP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Algorithms and Architectures for Parallel Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guangzhou","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":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 November 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 November 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ica3pp2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/nsclab.org\/ica3pp2018\/authors.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"407","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"141","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"50","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"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"}},{"value":"2.3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"7.3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}