{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T08:59:57Z","timestamp":1774947597761,"version":"3.50.1"},"publisher-location":"Cham","reference-count":62,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031545306","type":"print"},{"value":"9783031545313","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-54531-3_13","type":"book-chapter","created":{"date-parts":[[2024,2,22]],"date-time":"2024-02-22T07:06:29Z","timestamp":1708585589000},"page":"229-248","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Operationalizing the\u00a0Use of\u00a0Sensor Data in\u00a0Mobile Crowdsensing: A Systematic Review and\u00a0Practical Guidelines"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0657-3232","authenticated-orcid":false,"given":"Robin","family":"Kraft","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maximilian","family":"Blasi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4774-6670","authenticated-orcid":false,"given":"Marc","family":"Schickler","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2536-4153","authenticated-orcid":false,"given":"Manfred","family":"Reichert","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1522-785X","authenticated-orcid":false,"given":"R\u00fcdiger","family":"Pryss","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,2,23]]},"reference":[{"key":"13_CR1","doi-asserted-by":"publisher","unstructured":"Abdo, M.A., Abdel-Hamid, A.A., Elzouka, H.A.: A cloud-based mobile healthcare monitoring framework with location privacy preservation. In: 2020 International Conference on Innovation and Intelligence for Informatics, Computing and Technologies (3ICT), pp. 1\u20138 (2020). https:\/\/doi.org\/10.1109\/3ICT51146.2020.9311999","DOI":"10.1109\/3ICT51146.2020.9311999"},{"key":"13_CR2","doi-asserted-by":"publisher","unstructured":"Aly, H., Basalamah, A., Youssef, M.: Map++: a crowd-sensing system for automatic map semantics identification. In: 2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), pp. 546\u2013554 (2014). https:\/\/doi.org\/10.1109\/SAHCN.2014.6990394","DOI":"10.1109\/SAHCN.2014.6990394"},{"key":"13_CR3","doi-asserted-by":"publisher","unstructured":"Beierle, F., et al.: Corona health-a study- and sensor-based mobile app platform exploring aspects of the COVID-19 pandemic. Int. J. Environ. Res. Public Health 18(14) (2021). https:\/\/doi.org\/10.3390\/ijerph18147395","DOI":"10.3390\/ijerph18147395"},{"key":"13_CR4","doi-asserted-by":"publisher","unstructured":"Bosello, M., Delnevo, G., Mirri, S.: On exploiting gamification for the crowdsensing of air pollution: a case study on a bicycle-based system. In: Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good, GoodTechs 2020, pp. 205\u2013210. Association for Computing Machinery, New York, NY, USA (2020). https:\/\/doi.org\/10.1145\/3411170.3411256","DOI":"10.1145\/3411170.3411256"},{"issue":"10","key":"13_CR5","doi-asserted-by":"publisher","first-page":"2045","DOI":"10.1109\/TMC.2014.2384032","volume":"14","author":"MF Bulut","year":"2015","unstructured":"Bulut, M.F., Demirbas, M., Ferhatosmanoglu, H.: LineKing: coffee shop wait-time monitoring using smartphones. IEEE Trans. Mob. Comput. 14(10), 2045\u20132058 (2015). https:\/\/doi.org\/10.1109\/TMC.2014.2384032","journal-title":"IEEE Trans. Mob. Comput."},{"key":"13_CR6","unstructured":"Burke, J.A., et al.: Participatory sensing. In: First Workshop on World-Sensor-Web: Mobile Device Centric Sensory Networks and Applications (WSW 2006) at the 4th ACM Conference on Embedded Networked Sensor Systems (SenSys) (2006)"},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Campbell, A.T., Eisenman, S.B., Lane, N.D., Miluzzo, E., Peterson, R.A.: People-centric urban sensing. In: Proceedings of the 2nd Annual International Workshop on Wireless Internet, p. 18-es (2006)","DOI":"10.1145\/1234161.1234179"},{"issue":"3","key":"13_CR8","doi-asserted-by":"publisher","first-page":"2419","DOI":"10.1109\/COMST.2019.2914030","volume":"21","author":"A Capponi","year":"2019","unstructured":"Capponi, A., Fiandrino, C., Kantarci, B., Foschini, L., Kliazovich, D., Bouvry, P.: A survey on mobile crowdsensing systems: challenges, solutions, and opportunities. IEEE Commun. Surv. Tutorials 21(3), 2419\u20132465 (2019)","journal-title":"IEEE Commun. Surv. Tutorials"},{"issue":"12","key":"13_CR9","doi-asserted-by":"publisher","first-page":"4185","DOI":"10.1109\/JSEN.2014.2344023","volume":"14","author":"G Cardone","year":"2014","unstructured":"Cardone, G., Cirri, A., Corradi, A., Foschini, L., Ianniello, R., Montanari, R.: Crowdsensing in urban areas for city-scale mass gathering management: geofencing and activity recognition. IEEE Sens. J. 14(12), 4185\u20134195 (2014). https:\/\/doi.org\/10.1109\/JSEN.2014.2344023","journal-title":"IEEE Sens. J."},{"key":"13_CR10","doi-asserted-by":"publisher","unstructured":"Chen, D., Shin, K.G.: TurnsMap: enhancing driving safety at intersections with mobile crowdsensing and deep learning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(3) (2019). https:\/\/doi.org\/10.1145\/3351236","DOI":"10.1145\/3351236"},{"key":"13_CR11","doi-asserted-by":"publisher","unstructured":"Chen, S., Li, M., Ren, K., Qiao, C.: Crowd map: accurate reconstruction of indoor floor plans from crowdsourced sensor-rich videos. In: 2015 IEEE 35th International Conference on Distributed Computing Systems, pp. 1\u201310 (2015). https:\/\/doi.org\/10.1109\/ICDCS.2015.9","DOI":"10.1109\/ICDCS.2015.9"},{"key":"13_CR12","doi-asserted-by":"publisher","unstructured":"Chon, Y., Lee, G., Ha, R., Cha, H.: Crowdsensing-based smartphone use guide for battery life extension. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016, pp. 958\u2013969. Association for Computing Machinery, New York, NY, USA (2016). https:\/\/doi.org\/10.1145\/2971648.2971728","DOI":"10.1145\/2971648.2971728"},{"issue":"11","key":"13_CR13","doi-asserted-by":"publisher","first-page":"1928","DOI":"10.1016\/j.jss.2011.06.073","volume":"84","author":"D Christin","year":"2011","unstructured":"Christin, D., Reinhardt, A., Kanhere, S.S., Hollick, M.: A survey on privacy in mobile participatory sensing applications. J. Syst. Softw. 84(11), 1928\u20131946 (2011)","journal-title":"J. Syst. Softw."},{"key":"13_CR14","unstructured":"Cohen, P.: Macworld expo keynote live update: introducing the iPhone. Macworld (2007). https:\/\/www.macworld.com\/article\/183052\/liveupdate-15.html. Accessed 7 Feb 2023"},{"key":"13_CR15","doi-asserted-by":"publisher","unstructured":"Coric, V., Gruteser, M.: Crowdsensing maps of on-street parking spaces. In: 2013 IEEE International Conference on Distributed Computing in Sensor Systems, pp. 115\u2013122 (2013). https:\/\/doi.org\/10.1109\/DCOSS.2013.15","DOI":"10.1109\/DCOSS.2013.15"},{"key":"13_CR16","doi-asserted-by":"publisher","unstructured":"Cranshaw, J., Toch, E., Hong, J., Kittur, A., Sadeh, N.: Bridging the gap between physical location and online social networks. In: Proceedings of the 12th ACM International Conference on Ubiquitous Computing, UbiComp 2010, pp. 119\u2013128. Association for Computing Machinery, New York, NY, USA (2010). https:\/\/doi.org\/10.1145\/1864349.1864380","DOI":"10.1145\/1864349.1864380"},{"issue":"5","key":"13_CR17","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1007\/s10916-018-0937-2","volume":"42","author":"T Edoh","year":"2018","unstructured":"Edoh, T.: Risk prevention of spreading emerging infectious diseases using a HybridCrowdsensing paradigm, optical sensors, and smartphone. J. Med. Syst. 42(5), 91 (2018). https:\/\/doi.org\/10.1007\/s10916-018-0937-2","journal-title":"J. Med. Syst."},{"key":"13_CR18","doi-asserted-by":"publisher","unstructured":"Farshad, A., Marina, M.K., Garcia, F.: Urban WiFi characterization via mobile crowdsensing. In: 2014 IEEE Network Operations and Management Symposium (NOMS), pp. 1\u20139 (2014). https:\/\/doi.org\/10.1109\/NOMS.2014.6838233","DOI":"10.1109\/NOMS.2014.6838233"},{"issue":"11","key":"13_CR19","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1109\/MCOM.2011.6069707","volume":"49","author":"RK Ganti","year":"2011","unstructured":"Ganti, R.K., Ye, F., Lei, H.: Mobile crowdsensing: current state and future challenges. IEEE Commun. Mag. 49(11), 32\u201339 (2011)","journal-title":"IEEE Commun. Mag."},{"key":"13_CR20","doi-asserted-by":"publisher","unstructured":"Gao, R., et al.: Jigsaw: indoor floor plan reconstruction via mobile crowdsensing. In: Proceedings of the 20th Annual International Conference on Mobile Computing and Networking, MobiCom 2014, pp. 249\u2013260. Association for Computing Machinery, New York, NY, USA (2014). https:\/\/doi.org\/10.1145\/2639108.2639134","DOI":"10.1145\/2639108.2639134"},{"key":"13_CR21","unstructured":"Gartner: Number of smartphones sold to end users worldwide from 2007 to 2021 (in million units) (2022). https:\/\/www.statista.com\/statistics\/263437\/global-smartphone-sales-to-end-users-since-2007\/. Accessed 7 Feb 2023"},{"issue":"10","key":"13_CR22","doi-asserted-by":"publisher","first-page":"2020","DOI":"10.1109\/TMC.2014.2385097","volume":"14","author":"B Guo","year":"2015","unstructured":"Guo, B., Chen, H., Yu, Z., Xie, X., Huangfu, S., Zhang, D.: FlierMeet: a mobile crowdsensing system for cross-space public information reposting, tagging, and sharing. IEEE Trans. Mob. Comput. 14(10), 2020\u20132033 (2015). https:\/\/doi.org\/10.1109\/TMC.2014.2385097","journal-title":"IEEE Trans. Mob. Comput."},{"issue":"1","key":"13_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2794400","volume":"48","author":"B Guo","year":"2015","unstructured":"Guo, B., et al.: Mobile crowd sensing and computing: the review of an emerging human-powered sensing paradigm. ACM Comput. Surv. (CSUR) 48(1), 1\u201331 (2015)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"13_CR24","doi-asserted-by":"publisher","unstructured":"Hao, P., Yang, M., Gao, S., Sun, K., Tao, D.: Fine-grained PM2.5 detection method based on crowdsensing. In: 2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan), pp. 1\u20132 (2020). https:\/\/doi.org\/10.1109\/ICCE-Taiwan49838.2020.9258279","DOI":"10.1109\/ICCE-Taiwan49838.2020.9258279"},{"issue":"1","key":"13_CR25","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1109\/MWC.2015.7054716","volume":"22","author":"D He","year":"2015","unstructured":"He, D., Chan, S., Guizani, M.: User privacy and data trustworthiness in mobile crowd sensing. IEEE Wirel. Commun. 22(1), 28\u201334 (2015)","journal-title":"IEEE Wirel. Commun."},{"key":"13_CR26","doi-asserted-by":"publisher","unstructured":"He, Y., Li, Y., Bao, S.D.: Fall detection by built-in tri-accelerometer of smartphone. In: Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, pp. 184\u2013187 (2012). https:\/\/doi.org\/10.1109\/BHI.2012.6211540","DOI":"10.1109\/BHI.2012.6211540"},{"key":"13_CR27","doi-asserted-by":"publisher","unstructured":"Hu, S., Su, L., Liu, H., Wang, H., Abdelzaher, T.F.: SmartRoad: smartphone-based crowd sensing for traffic regulator detection and identification. ACM Trans. Sen. Netw. 11(4) (2015). https:\/\/doi.org\/10.1145\/2770876","DOI":"10.1145\/2770876"},{"issue":"5","key":"13_CR28","doi-asserted-by":"publisher","first-page":"370","DOI":"10.1109\/JIOT.2015.2409151","volume":"2","author":"LG Jaimes","year":"2015","unstructured":"Jaimes, L.G., Vergara-Laurens, I.J., Raij, A.: A survey of incentive techniques for mobile crowd sensing. IEEE Internet Things J. 2(5), 370\u2013380 (2015)","journal-title":"IEEE Internet Things J."},{"key":"13_CR29","unstructured":"Kepios: Digital 2022: Global Overview Report (2022). https:\/\/datareportal.com\/reports\/digital-2022-global-overview-report. Accessed 04 Mar 2023"},{"key":"13_CR30","first-page":"1","volume":"1","author":"JY Koh","year":"2000","unstructured":"Koh, J.Y., Peters, G., Nevat, I., Leong, D.: Spatial Stackelberg incentive mechanism for privacy-aware mobile crowd sensing. J. Mach. Learn. Res. 1, 1\u201348 (2000)","journal-title":"J. Mach. Learn. Res."},{"key":"13_CR31","doi-asserted-by":"publisher","first-page":"164","DOI":"10.3389\/fnins.2020.00164","volume":"14","author":"R Kraft","year":"2020","unstructured":"Kraft, R., et al.: Combining mobile crowdsensing and ecological momentary assessments in the healthcare domain. Front. Neurosci. 14, 164 (2020)","journal-title":"Front. Neurosci."},{"issue":"9","key":"13_CR32","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1109\/MCOM.2010.5560598","volume":"48","author":"ND Lane","year":"2010","unstructured":"Lane, N.D., Miluzzo, E., Lu, H., Peebles, D., Choudhury, T., Campbell, A.T.: A survey of mobile phone sensing. IEEE Commun. Mag. 48(9), 140\u2013150 (2010)","journal-title":"IEEE Commun. Mag."},{"issue":"3","key":"13_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3185504","volume":"2","author":"J Liu","year":"2018","unstructured":"Liu, J., Shen, H., Narman, H.S., Chung, W., Lin, Z.: A survey of mobile crowdsensing techniques: a critical component for the internet of things. ACM Trans. Cyber-Phys. Syst. 2(3), 1\u201326 (2018)","journal-title":"ACM Trans. Cyber-Phys. Syst."},{"issue":"3","key":"13_CR34","doi-asserted-by":"publisher","first-page":"2849","DOI":"10.1109\/COMST.2019.2910855","volume":"21","author":"Y Liu","year":"2019","unstructured":"Liu, Y., Kong, L., Chen, G.: Data-oriented mobile crowdsensing: a comprehensive survey. IEEE Commun. Surv. Tutorials 21(3), 2849\u20132885 (2019)","journal-title":"IEEE Commun. Surv. Tutorials"},{"key":"13_CR35","doi-asserted-by":"publisher","first-page":"10662","DOI":"10.1109\/ACCESS.2018.2799707","volume":"6","author":"M Marjanovi\u0107","year":"2018","unstructured":"Marjanovi\u0107, M., Antoni\u0107, A., \u017darko, I.P.: Edge computing architecture for mobile crowdsensing. IEEE Access 6, 10662\u201310674 (2018)","journal-title":"IEEE Access"},{"key":"13_CR36","doi-asserted-by":"publisher","unstructured":"Morishita, S., et al.: SakuraSensor: quasi-realtime cherry-lined roads detection through participatory video sensing by cars. In: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2015, pp. 695\u2013705. Association for Computing Machinery, New York, NY, USA (2015). https:\/\/doi.org\/10.1145\/2750858.2804273","DOI":"10.1145\/2750858.2804273"},{"key":"13_CR37","doi-asserted-by":"publisher","unstructured":"Ouyang, R.W., Srivastava, A., Prabahar, P., Roy Choudhury, R., Addicott, M., McClernon, F.J.: If you see something, swipe towards it: crowdsourced event localization using smartphones. In: Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2013, pp. 23\u201332. Association for Computing Machinery, New York, NY, USA (2013). https:\/\/doi.org\/10.1145\/2493432.2493455","DOI":"10.1145\/2493432.2493455"},{"issue":"1","key":"13_CR38","first-page":"1","volume":"10","author":"MJ Page","year":"2021","unstructured":"Page, M.J., et al.: The Prisma 2020 statement: an updated guideline for reporting systematic reviews. Syst. Control Found. Appl. 10(1), 1\u201311 (2021)","journal-title":"Syst. Control Found. Appl."},{"key":"13_CR39","doi-asserted-by":"publisher","unstructured":"Pan, B., Zheng, Y., Wilkie, D., Shahabi, C.: Crowd sensing of traffic anomalies based on human mobility and social media. In: Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2013, pp. 344\u2013353. Association for Computing Machinery, New York, NY, USA (2013). https:\/\/doi.org\/10.1145\/2525314.2525343","DOI":"10.1145\/2525314.2525343"},{"issue":"8","key":"13_CR40","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1109\/MCOM.2014.6871665","volume":"52","author":"V Pankratius","year":"2014","unstructured":"Pankratius, V., Lind, F., Coster, A., Erickson, P., Semeter, J.: Mobile crowd sensing in space weather monitoring: the Mahali project. IEEE Commun. Mag. 52(8), 22\u201328 (2014). https:\/\/doi.org\/10.1109\/MCOM.2014.6871665","journal-title":"IEEE Commun. Mag."},{"issue":"4","key":"13_CR41","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1145\/2935694.2935700","volume":"44","author":"L Pournajaf","year":"2016","unstructured":"Pournajaf, L., Garcia-Ulloa, D.A., Xiong, L., Sunderam, V.: Participant privacy in mobile crowd sensing task management: a survey of methods and challenges. ACM SIGMOD Rec. 44(4), 23\u201334 (2016)","journal-title":"ACM SIGMOD Rec."},{"key":"13_CR42","doi-asserted-by":"crossref","unstructured":"Pryss, R., Schlee, W., Langguth, B., Reichert, M.: Mobile crowdsensing services for tinnitus assessment and patient feedback. In: 2017 IEEE International Conference on AI & Mobile Services (AIMS), pp. 22\u201329. IEEE (2017)","DOI":"10.1109\/AIMS.2017.12"},{"key":"13_CR43","doi-asserted-by":"publisher","unstructured":"Pryss, R., Reichert, M., Herrmann, J., Langguth, B., Schlee, W.: Mobile crowd sensing in clinical and psychological trials - a case study. In: 2015 IEEE 28th International Symposium on Computer-Based Medical Systems, pp. 23\u201324 (2015). https:\/\/doi.org\/10.1109\/CBMS.2015.26","DOI":"10.1109\/CBMS.2015.26"},{"key":"13_CR44","doi-asserted-by":"publisher","unstructured":"Radu, V., Kriara, L., Marina, M.K.: Pazl: a mobile crowdsensing based indoor WiFi monitoring system. In: Proceedings of the 9th International Conference on Network and Service Management (CNSM 2013), pp. 75\u201383 (2013). https:\/\/doi.org\/10.1109\/CNSM.2013.6727812","DOI":"10.1109\/CNSM.2013.6727812"},{"key":"13_CR45","doi-asserted-by":"publisher","unstructured":"Rai, A., Chintalapudi, K.K., Padmanabhan, V.N., Sen, R.: Zee: zero-effort crowdsourcing for indoor localization. In: Proceedings of the 18th Annual International Conference on Mobile Computing and Networking, Mobicom 2012, pp. 293\u2013304. Association for Computing Machinery, New York, NY, USA (2012). https:\/\/doi.org\/10.1145\/2348543.2348580","DOI":"10.1145\/2348543.2348580"},{"issue":"4","key":"13_CR46","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3139256","volume":"13","author":"F Restuccia","year":"2017","unstructured":"Restuccia, F., Ghosh, N., Bhattacharjee, S., Das, S.K., Melodia, T.: Quality of information in mobile crowdsensing: survey and research challenges. ACM Trans. Sens. Netw. (TOSN) 13(4), 1\u201343 (2017)","journal-title":"ACM Trans. Sens. Netw. (TOSN)"},{"key":"13_CR47","doi-asserted-by":"publisher","unstructured":"Rivron, V., Khan, M.I., Charneau, S., Chrisment, I.: Refining smartphone usage analysis by combining crowdsensing and survey. In: 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), pp. 366\u2013371 (2015). https:\/\/doi.org\/10.1109\/PERCOMW.2015.7134065","DOI":"10.1109\/PERCOMW.2015.7134065"},{"key":"13_CR48","doi-asserted-by":"publisher","unstructured":"Santani, D., et al.: The night is young: Urban crowdsourcing of nightlife patterns. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016, pp. 427\u2013438. Association for Computing Machinery, New York, NY, USA (2016). https:\/\/doi.org\/10.1145\/2971648.2971713","DOI":"10.1145\/2971648.2971713"},{"key":"13_CR49","doi-asserted-by":"publisher","unstructured":"Visuri, A., Zhu, Z., Ferreira, D., Konomi, S., Kostakos, V.: Smartphone detection of collapsed buildings during earthquakes. In: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, UbiComp 2017, pp. 557\u2013562. Association for Computing Machinery, New York, NY, USA (2017). https:\/\/doi.org\/10.1145\/3123024.3124402","DOI":"10.1145\/3123024.3124402"},{"issue":"1","key":"13_CR50","doi-asserted-by":"publisher","first-page":"88","DOI":"10.3390\/s16010088","volume":"16","author":"J Wan","year":"2016","unstructured":"Wan, J., Liu, J., Shao, Z., Vasilakos, A.V., Imran, M., Zhou, K.: Mobile crowd sensing for traffic prediction in internet of vehicles. Sensors 16(1), 88 (2016)","journal-title":"Sensors"},{"key":"13_CR51","doi-asserted-by":"publisher","unstructured":"Wang, H., Guo, B., Wang, S., He, T., Zhang, D.: CSMC: cellular signal map construction via mobile crowdsensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(4) (2022). https:\/\/doi.org\/10.1145\/3494959","DOI":"10.1145\/3494959"},{"issue":"5","key":"13_CR52","doi-asserted-by":"publisher","first-page":"3747","DOI":"10.1109\/JIOT.2018.2864341","volume":"5","author":"J Wang","year":"2018","unstructured":"Wang, J., Wang, L., Wang, Y., Zhang, D., Kong, L.: Task allocation in mobile crowd sensing: state-of-the-art and future opportunities. IEEE Internet Things J. 5(5), 3747\u20133757 (2018)","journal-title":"IEEE Internet Things J."},{"issue":"5","key":"13_CR53","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1109\/MCOM.2018.1700644","volume":"56","author":"J Wang","year":"2018","unstructured":"Wang, J., Wang, Y., Zhang, D., Helal, S.: Energy saving techniques in mobile crowd sensing: current state and future opportunities. IEEE Commun. Mag. 56(5), 164\u2013169 (2018)","journal-title":"IEEE Commun. Mag."},{"key":"13_CR54","doi-asserted-by":"crossref","unstructured":"Wang, L., Zhang, D., Wang, Y., Chen, C., Han, X., M\u2019hamed, A.: Sparse mobile crowdsensing: challenges and opportunities. IEEE Commun. Mag. 54(7), 161\u2013167 (2016)","DOI":"10.1109\/MCOM.2016.7509395"},{"key":"13_CR55","doi-asserted-by":"publisher","unstructured":"Wang, Y., Liu, X., Wei, H., Forman, G., Chen, C., Zhu, Y.: CrowdAtlas: self-updating maps for cloud and personal use. In: Proceeding of the 11th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2013, pp. 27\u201340. Association for Computing Machinery, New York, NY, USA (2013). https:\/\/doi.org\/10.1145\/2462456.2464441","DOI":"10.1145\/2462456.2464441"},{"key":"13_CR56","doi-asserted-by":"publisher","unstructured":"Weppner, J., Lukowicz, P.: Bluetooth based collaborative crowd density estimation with mobile phones. In: 2013 IEEE International Conference on Pervasive Computing and Communications (PerCom), pp. 193\u2013200 (2013). https:\/\/doi.org\/10.1109\/PerCom.2013.6526732","DOI":"10.1109\/PerCom.2013.6526732"},{"key":"13_CR57","doi-asserted-by":"crossref","unstructured":"Xiao, Y., Simoens, P., Pillai, P., Ha, K., Satyanarayanan, M.: Lowering the barriers to large-scale mobile crowdsensing. In: Proceedings of the 14th Workshop on Mobile Computing Systems and Applications, pp. 1\u20136 (2013)","DOI":"10.1145\/2444776.2444789"},{"key":"13_CR58","doi-asserted-by":"publisher","unstructured":"Xu, Q., Zheng, R.: MobiBee: a mobile treasure hunt game for location-dependent fingerprint collection. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, UbiComp 2016, pp. 1472\u20131477. Association for Computing Machinery, New York, NY, USA (2016). https:\/\/doi.org\/10.1145\/2968219.2968590","DOI":"10.1145\/2968219.2968590"},{"issue":"2","key":"13_CR59","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1109\/TMC.2014.2319824","volume":"14","author":"C Zhang","year":"2015","unstructured":"Zhang, C., Subbu, K.P., Luo, J., Wu, J.: GROPING: geomagnetism and cROwdsensing powered indoor navigation. IEEE Trans. Mob. Comput. 14(2), 387\u2013400 (2015). https:\/\/doi.org\/10.1109\/TMC.2014.2319824","journal-title":"IEEE Trans. Mob. Comput."},{"key":"13_CR60","doi-asserted-by":"publisher","unstructured":"Zhang, F., Wilkie, D., Zheng, Y., Xie, X.: Sensing the pulse of urban refueling behavior. In: Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2013, pp. 13\u201322. Association for Computing Machinery, New York, NY, USA (2013). https:\/\/doi.org\/10.1145\/2493432.2493448","DOI":"10.1145\/2493432.2493448"},{"issue":"1","key":"13_CR61","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1109\/COMST.2015.2415528","volume":"18","author":"X Zhang","year":"2015","unstructured":"Zhang, X., et al.: Incentives for mobile crowd sensing: a survey. IEEE Commun. Surv. Tutorials 18(1), 54\u201367 (2015)","journal-title":"IEEE Commun. Surv. Tutorials"},{"issue":"6","key":"13_CR62","doi-asserted-by":"publisher","first-page":"1228","DOI":"10.1109\/TMC.2013.136","volume":"13","author":"P Zhou","year":"2014","unstructured":"Zhou, P., Zheng, Y., Li, M.: How long to wait? Predicting bus arrival time with mobile phone based participatory sensing. IEEE Trans. Mob. Comput. 13(6), 1228\u20131241 (2014). https:\/\/doi.org\/10.1109\/TMC.2013.136","journal-title":"IEEE Trans. Mob. Comput."}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Collaborative Computing: Networking, Applications and Worksharing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-54531-3_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,22]],"date-time":"2024-02-22T07:15:57Z","timestamp":1708586157000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-54531-3_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031545306","9783031545313"],"references-count":62,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-54531-3_13","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"value":"1867-8211","type":"print"},{"value":"1867-822X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"23 February 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CollaborateCom","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Collaborative Computing: Networking, Applications and Worksharing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Corfu","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 October 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"colcom2023","order":10,"name":"conference_id","label":"Conference ID","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":"Cony +","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"176","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":"72","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":"41% - 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":"3","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}