{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T09:13:05Z","timestamp":1743066785348,"version":"3.40.3"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030953874"},{"type":"electronic","value":"9783030953881"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-030-95388-1_5","type":"book-chapter","created":{"date-parts":[[2022,2,22]],"date-time":"2022-02-22T08:20:55Z","timestamp":1645518055000},"page":"65-80","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["MobiTrack: Mobile Crowdsensing-Based Object Tracking with\u00a0Min-Region and\u00a0Max-Utility"],"prefix":"10.1007","author":[{"given":"Wenqiang","family":"Li","sequence":"first","affiliation":[]},{"given":"Jun","family":"Tao","sequence":"additional","affiliation":[]},{"given":"Zuyan","family":"Wang","sequence":"additional","affiliation":[]},{"given":"YiFan","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Xiaolei","family":"Tang","sequence":"additional","affiliation":[]},{"given":"YiChao","family":"Dong","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,2,23]]},"reference":[{"issue":"10","key":"5_CR1","doi-asserted-by":"publisher","first-page":"2712","DOI":"10.1109\/TMC.2016.2645150","volume":"16","author":"H Aly","year":"2016","unstructured":"Aly, H., Basalamah, A., Youssef, M.: Automatic rich map semantics identification through smartphone-based crowd-sensing. IEEE Trans. Mob. Comput. 16(10), 2712\u20132725 (2016)","journal-title":"IEEE Trans. Mob. Comput."},{"key":"5_CR2","doi-asserted-by":"crossref","unstructured":"Ashbrook, D., Starner, T.: Learning significant locations and predicting user movement with GPS. In: Proceedings Sixth International Symposium on Wearable Computers, pp. 101\u2013108 (2002)","DOI":"10.1109\/ISWC.2002.1167224"},{"key":"5_CR3","doi-asserted-by":"publisher","unstructured":"Bracciale, L., et al.: Crawdad dataset roma\/taxi (v. 2014\u201307-17) (2014). https:\/\/doi.org\/10.15783\/C7QC7M, https:\/\/crawdad.org\/roma\/taxi\/20140717","DOI":"10.15783\/C7QC7M"},{"issue":"5","key":"5_CR4","doi-asserted-by":"publisher","first-page":"7570","DOI":"10.1109\/JIOT.2019.2901093","volume":"6","author":"H Chen","year":"2019","unstructured":"Chen, H., Guo, B., Yu, Z., Han, Q.: Crowdtracking: real-time vehicle tracking through mobile crowdsensing. IEEE Internet Things J. 6(5), 7570\u20137583 (2019)","journal-title":"IEEE Internet Things J."},{"key":"5_CR5","doi-asserted-by":"crossref","unstructured":"Chen, Z., Yang, P., Xiong, J., Feng, Y., Li, X.Y.: Tagray: contactless sensing and tracking of mobile objects using cots RFID devices. In: IEEE INFOCOM, pp. 307\u2013316 (2020)","DOI":"10.1109\/INFOCOM41043.2020.9155531"},{"key":"5_CR6","doi-asserted-by":"crossref","unstructured":"Dai, M., Su, Z., Xu, Q., Wang, Y., Lu, N.: A trust-driven contract incentive scheme for mobile crowd-sensing networks. IEEE Trans. Veh. Technol. (2021)","DOI":"10.1109\/TVT.2021.3117696"},{"issue":"5199","key":"5_CR7","doi-asserted-by":"publisher","first-page":"843","DOI":"10.1126\/science.267.5199.843","volume":"267","author":"M Damashek","year":"1995","unstructured":"Damashek, M.: Gauging similarity with n-grams: language-independent categorization of text. Science 267(5199), 843\u2013848 (1995)","journal-title":"Science"},{"issue":"3","key":"5_CR8","doi-asserted-by":"publisher","first-page":"1749","DOI":"10.1109\/JIOT.2018.2815982","volume":"5","author":"B Guo","year":"2018","unstructured":"Guo, B., Liu, Y., Wang, L., Li, V.O., Lam, J.C., Yu, Z.: Task allocation in spatial crowdsourcing: current state and future directions. IEEE Internet Things J. 5(3), 1749\u20131764 (2018)","journal-title":"IEEE Internet Things J."},{"issue":"3","key":"5_CR9","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1109\/THMS.2016.2599489","volume":"47","author":"B Guo","year":"2016","unstructured":"Guo, B., Liu, Y., Wu, W., Yu, Z., Han, Q.: Activecrowd: a framework for optimized multitask allocation in mobile crowdsensing systems. IEEE Trans. Hum.-Mach. Syst. 47(3), 392\u2013403 (2016)","journal-title":"IEEE Trans. Hum.-Mach. Syst."},{"key":"5_CR10","doi-asserted-by":"crossref","unstructured":"Horvitz, E., Krumm, J.: Some help on the way: opportunistic routing under uncertainty. In: The 2012 ACM Conference on Ubiquitous Computing, Ubicomp \u201912, Pittsburgh, PA, USA, 5\u20138 September 2012, pp. 371\u2013380 (2012)","DOI":"10.1145\/2370216.2370273"},{"key":"5_CR11","doi-asserted-by":"publisher","first-page":"2476","DOI":"10.1109\/TII.2021.3094527","volume":"18","author":"Y Huang","year":"2021","unstructured":"Huang, Y., et al.: OPAT: optimized allocation of time dependent tasks for mobile crowdsensing. IEEE Trans. Ind. Inf. 18, 2476\u20132485 (2021)","journal-title":"IEEE Trans. Ind. Inf."},{"issue":"5","key":"5_CR12","doi-asserted-by":"publisher","first-page":"3452","DOI":"10.1109\/JIOT.2017.2762003","volume":"5","author":"Y Jing","year":"2017","unstructured":"Jing, Y., Guo, B., Wang, Z., Li, V.O., Lam, J.C., Yu, Z.: Crowdtracker: optimized urban moving object tracking using mobile crowd sensing. IEEE Internet Things J. 5(5), 3452\u20133463 (2017)","journal-title":"IEEE Internet Things J."},{"issue":"3","key":"5_CR13","first-page":"991","volume":"33","author":"AV Khezerlou","year":"2019","unstructured":"Khezerlou, A.V., Zhou, X., Tong, L., Li, Y., Luo, J.: Forecasting gathering events through trajectory destination prediction: a dynamic hybrid model. IEEE Trans. Knowl. Data Eng. 33(3), 991\u20131004 (2019)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"1\u20132","key":"5_CR14","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1002\/nav.3800020109","volume":"31","author":"HW Kuhn","year":"1955","unstructured":"Kuhn, H.W.: The Hungarian method for the assignment problem. Naval Res. Logist. Q. 31(1\u20132), 83\u201397 (1955)","journal-title":"Naval Res. Logist. Q."},{"key":"5_CR15","doi-asserted-by":"crossref","unstructured":"Li, D., Zhu, J., Cui, Y.: Prediction-based task allocation in mobile crowdsensing. In: 2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN), pp. 89\u201394 (2019)","DOI":"10.1109\/MSN48538.2019.00029"},{"key":"5_CR16","doi-asserted-by":"crossref","unstructured":"Liu, K., Li, X.: Finding nemo: finding your lost child in crowds via mobile crowd sensing. In: 2014 IEEE 11th International Conference on Mobile Ad Hoc and Sensor Systems, pp. 1\u20139. IEEE (2014)","DOI":"10.1109\/MASS.2014.79"},{"issue":"10","key":"5_CR17","doi-asserted-by":"publisher","first-page":"2851","DOI":"10.1109\/TITS.2017.2650215","volume":"18","author":"Z Liu","year":"2017","unstructured":"Liu, Z., Jiang, S., Zhou, P., Li, M.: A participatory urban traffic monitoring system: the power of bus riders. IEEE Trans. Intell. Transp. Syst. 18(10), 2851\u20132864 (2017)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"2","key":"5_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3431502","volume":"22","author":"TN Nguyen","year":"2021","unstructured":"Nguyen, T.N., Zeadally, S.: Mobile crowd-sensing applications: data redundancies, challenges, and solutions. ACM Trans. Internet Technol. (TOIT) 22(2), 1\u201315 (2021)","journal-title":"ACM Trans. Internet Technol. (TOIT)"},{"key":"5_CR19","doi-asserted-by":"crossref","unstructured":"Pan, Z., Yu, H., Miao, C., Leung, C.: Crowdsensing air quality with camera-enabled mobile devices. In: AAAI, pp. 4728\u20134733 (2017)","DOI":"10.1609\/aaai.v31i2.19102"},{"key":"5_CR20","doi-asserted-by":"publisher","first-page":"4367","DOI":"10.1109\/TITS.2021.3086837","volume":"22","author":"Y Qian","year":"2021","unstructured":"Qian, Y., Ma, Y., Chen, J., Wu, D., Tian, D., Hwang, K.: Optimal location privacy preserving and service quality guaranteed task allocation in vehicle-based crowdsensing networks. IEEE Trans. Intell. Transp. Syst. 22, 4367\u20134375 (2021)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"3","key":"5_CR21","doi-asserted-by":"publisher","first-page":"1716","DOI":"10.1109\/TWC.2015.2495291","volume":"15","author":"J Sun","year":"2015","unstructured":"Sun, J., Zhang, R., Jin, X., Zhang, Y.: Securefind: secure and privacy-preserving object finding via mobile crowdsourcing. IEEE Trans. Wirel. Commun 15(3), 1716\u20131728 (2015)","journal-title":"IEEE Trans. Wirel. Commun"},{"key":"5_CR22","doi-asserted-by":"crossref","unstructured":"Wang, G., Luo, C., Xiong, Z., Zeng, W.: SPM-tracker: series-parallel matching for real-time visual object tracking. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3643\u20133652 (2019)","DOI":"10.1109\/CVPR.2019.00376"},{"key":"5_CR23","doi-asserted-by":"crossref","unstructured":"Xu, M., Wang, D., Li, J.: Destpre: a data-driven approach to destination prediction for taxi rides. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 729\u2013739 (2016)","DOI":"10.1145\/2971648.2971664"},{"key":"5_CR24","doi-asserted-by":"crossref","unstructured":"Xu, Y., Xu, P., Pan, J., Tao, J.: A unified model for the two-stage offline-then-online resource allocation. In: Bessiere, C. (ed.) Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020, pp. 4206\u20134212 (2020)","DOI":"10.24963\/ijcai.2020\/581"},{"key":"5_CR25","doi-asserted-by":"crossref","unstructured":"Yamaguchi, K., Berg, A.C., Ortiz, L.E., Berg, T.L.: Who are you with and where are you going? In: CVPR 2011, pp. 1345\u20131352 (2011)","DOI":"10.1109\/CVPR.2011.5995468"},{"key":"5_CR26","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1016\/j.jnca.2015.05.010","volume":"55","author":"D Yang","year":"2015","unstructured":"Yang, D., Zhang, D., Chen, L., Qu, B.: Nationtelescope: monitoring and visualizing large-scale collective behavior in LBSNS. J. Netw. Comput. Appl. 55, 170\u2013180 (2015)","journal-title":"J. Netw. Comput. Appl."},{"key":"5_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2814575","volume":"7","author":"D Yang","year":"2015","unstructured":"Yang, D., Zhang, D., Qu, B.: Participatory cultural mapping based on collective behavior in location based social networks. ACM Trans. Intell. Syst. Technol. 7, 1\u201323 (2015)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"issue":"4","key":"5_CR28","doi-asserted-by":"publisher","first-page":"3831","DOI":"10.1109\/TVT.2021.3065688","volume":"70","author":"F Yucel","year":"2021","unstructured":"Yucel, F., Yuksel, M., Bulut, E.: Coverage-aware stable task assignment in opportunistic mobile crowdsensing. IEEE Trans. Veh. Technol. 70(4), 3831\u20133845 (2021)","journal-title":"IEEE Trans. Veh. Technol."}],"container-title":["Lecture Notes in Computer Science","Algorithms and Architectures for Parallel Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-95388-1_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,19]],"date-time":"2024-09-19T00:08:48Z","timestamp":1726704528000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-95388-1_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030953874","9783030953881"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-95388-1_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"23 February 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"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":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ica3pp2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/nsclab.org\/ica3pp2021\/index.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 (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"403","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":"145","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":"36% - 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":"3.12","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":"2.27","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","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)"}}]}}