{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T06:52:30Z","timestamp":1726123950868},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811625398"},{"type":"electronic","value":"9789811625404"}],"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\/978-981-16-2540-4_12","type":"book-chapter","created":{"date-parts":[[2021,5,6]],"date-time":"2021-05-06T18:04:30Z","timestamp":1620324270000},"page":"155-166","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-task Allocation Strategy and Incentive Mechanism Based on Spatial-Temporal Correlation"],"prefix":"10.1007","author":[{"given":"Zihui","family":"Jiang","sequence":"first","affiliation":[]},{"given":"Wenan","family":"Tan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,5,7]]},"reference":[{"key":"12_CR1","unstructured":"Waze. https:\/\/www.waze.com\/zh\/. Accessed 13 Sept 2020"},{"key":"12_CR2","doi-asserted-by":"crossref","unstructured":"Ganti, R.K., Pham, N., Ahmadi, H., Nangia, S., Abdelzaher, T.F.: GreenGPS: a participatory sensing fuel-efficient maps application. In: Proceedings of the 8th International Conference on Mobile Systems, Applications, and Services, San Francisco, California, USA, pp. 151\u2013164. Association for Computing Machinery (2010)","DOI":"10.1145\/1814433.1814450"},{"issue":"12","key":"12_CR3","doi-asserted-by":"publisher","first-page":"3380","DOI":"10.3390\/s20123380","volume":"20","author":"S Makhsous","year":"2020","unstructured":"Makhsous, S., Bharadwaj, M., Atkinson, B.E., Novosselov, I.V., Mamishev, A.V.: Dietsensor: automatic dietary intake measurement using mobile 3D scanning sensor for diabetic patients. Sensors 20(12), 3380 (2020)","journal-title":"Sensors"},{"key":"12_CR4","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1007\/978-3-540-88351-7_16","volume-title":"Information Technologies in Environmental Engineering","author":"N Maisonneuve","year":"2009","unstructured":"Maisonneuve, N., Stevens, M., Niessen, M.E., Steels, L.: NoiseTube: measuring and mapping noise pollution with mobile phones. In: Athanasiadis, I.N., Rizzoli, A.E., Mitkas, P.A., G\u00f3mez, J.M. (eds.) Information Technologies in Environmental Engineering, pp. 215\u2013228. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-540-88351-7_16"},{"issue":"1","key":"12_CR5","doi-asserted-by":"publisher","first-page":"724","DOI":"10.1109\/TWC.2018.2885747","volume":"18","author":"J Nie","year":"2018","unstructured":"Nie, J., Luo, J., Xiong, Z., Niyato, D., Wang, P.: A stackelberg game approach toward socially-aware incentive mechanisms for mobile crowdsensing. IEEE Trans. Wirel. Commun. 18(1), 724\u2013738 (2018)","journal-title":"IEEE Trans. Wirel. Commun."},{"issue":"7","key":"12_CR6","doi-asserted-by":"publisher","first-page":"1618","DOI":"10.1109\/TMC.2019.2911512","volume":"19","author":"J Xu","year":"2019","unstructured":"Xu, J., Rao, Z., Xu, L., Yang, D., Li, T.: Incentive mechanism for multiple cooperative tasks with compatible users in mobile crowd sensing via online communities. IEEE Trans. Mob. Comput. 19(7), 1618\u20131633 (2019)","journal-title":"IEEE Trans. Mob. Comput."},{"key":"12_CR7","doi-asserted-by":"crossref","unstructured":"Wang, N., Da, J., Li, J., Liu, Y.: Influence maximization with trust relationship in social networks. In: 14th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN), Shenyang, China, pp. 61\u201367. IEEE (2018)","DOI":"10.1109\/MSN.2018.00017"},{"key":"12_CR8","doi-asserted-by":"publisher","first-page":"1158","DOI":"10.1016\/j.future.2019.07.060","volume":"101","author":"A Suliman","year":"2019","unstructured":"Suliman, A., Otrok, H., Mizouni, R., Singh, S., Ouali, A.: A greedy-proof incentive-compatible mechanism for group recruitment in mobile crowd sensing. Future Gener. Comput. Syst. 101, 1158\u20131167 (2019)","journal-title":"Future Gener. Comput. Syst."},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"Neiat, A.G., Bouguettaya, A., Mistry, S.: Incentive-based crowdsourcing of hotspot services. ACM Trans. Internet Technol. (TOIT) 19(1), 1\u201324 (2019)","DOI":"10.1145\/3229047"},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Bassem, C.: Mobility coordination of participants in mobile crowdsensing platforms with spatio-temporal tasks. In: Proceedings of the 17th ACM International Symposium on Mobility Management and Wireless Access, Miami Beach, FL, USA, pp. 33\u201340. Association for Computing Machinery (2019)","DOI":"10.1145\/3345770.3356734"},{"key":"12_CR11","doi-asserted-by":"crossref","unstructured":"Vemula, A., Muelling, K., Oh, J.: Social attention: modeling attention in human crowds. In: 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 1\u20137. IEEE (2018)","DOI":"10.1109\/ICRA.2018.8460504"},{"key":"12_CR12","doi-asserted-by":"crossref","unstructured":"Hu, Y., Wang, J., Wu, B., Helal, S.: Participants selection for from-scratch mobile crowdsensing via reinforcement learning. In: 2020 IEEE International Conference on Pervasive Computing and Communications, Austin, TX, USA, pp. 1\u201310. IEEE (2020)","DOI":"10.1109\/PerCom45495.2020.9127383"},{"key":"12_CR13","unstructured":"Baidu Test. https:\/\/test.baidu.com\/. Accessed 10 Sept 2020"},{"key":"12_CR14","doi-asserted-by":"publisher","first-page":"37334","DOI":"10.1109\/ACCESS.2019.2905263","volume":"7","author":"C Wang","year":"2019","unstructured":"Wang, C., Gaimu, X., Li, C., Zou, H., Wang, W.: Smart mobile crowdsensing with urban vehicles: a deep reinforcement learning perspective. IEEE Access 7, 37334\u201337341 (2019)","journal-title":"IEEE Access"},{"issue":"2","key":"12_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3234463","volume":"19","author":"H Li","year":"2019","unstructured":"Li, H., Ota, K., Dong, M.: Deep reinforcement scheduling for mobile crowdsensing in fog computing. ACM Trans. Internet Technol. 19(2), 1\u201318 (2019)","journal-title":"ACM Trans. Internet Technol."},{"key":"12_CR16","unstructured":"Chen, Y., Wang, H.: IntelligentCrowd: Mobile Crowdsensing via Multi-agent Reinforcement Learning. arXiv preprint arXiv:1809.07830 (2018)"},{"key":"12_CR17","doi-asserted-by":"crossref","unstructured":"Wang, J., et al.: Multi-task allocation in mobile crowd sensing with individual task quality assurance. IEEE Trans. Mob. Comput. 17(9), 2101\u20132113 (2018)","DOI":"10.1109\/TMC.2018.2793908"},{"issue":"1","key":"12_CR18","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1109\/TMC.2018.2827375","volume":"18","author":"L Wang","year":"2018","unstructured":"Wang, L., Yu, Z., Zhang, D., Guo, B., Liu, C.H.: Heterogeneous multi-task assignment in mobile crowdsensing using spatiotemporal correlation. IEEE Trans. Mob. Comput. 18(1), 84\u201397 (2018)","journal-title":"IEEE Trans. Mob. Comput."},{"key":"12_CR19","doi-asserted-by":"crossref","unstructured":"Mnih, V., et al.: Human-level control through deep reinforcement learning. Nature 518(7540), 529\u2013533 (2015)","DOI":"10.1038\/nature14236"},{"key":"12_CR20","doi-asserted-by":"crossref","unstructured":"Barlacchi, G., et al.: A multi-source dataset of urban life in the city of Milan and the Province of Trentino. Sci. Data 2(1), 1\u201315 (2015)","DOI":"10.1038\/sdata.2015.55"},{"key":"12_CR21","doi-asserted-by":"crossref","unstructured":"Tan, W., Jiang, Z.: A novel experience-based incentive mechanism for mobile crowdsensing system. In: Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing, Sanya, China, pp. 1\u20136 (2019)","DOI":"10.1145\/3371425.3371459"}],"container-title":["Communications in Computer and Information Science","Computer Supported Cooperative Work and Social Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-16-2540-4_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,6]],"date-time":"2021-05-06T18:06:44Z","timestamp":1620324404000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-16-2540-4_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9789811625398","9789811625404"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-16-2540-4_12","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"7 May 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ChineseCSCW","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"CCF Conference on Computer Supported Cooperative Work and Social Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shenzhen","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":"7 November 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 November 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"chinesecscw2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.scholat.com\/confweb\/CCSCW2020","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}