群智大数据：感知、优选与理解

doi:10.11959/j.issn.2096-0271.2017052

摘要/Abstract

摘要：

移动群智感知是一种新的大规模感知模式，它利用随身携带的智能移动终端（智能手机、可穿戴设备等）形成大规模、随时随地且与人们日常生活密切相关的感知系统。通过广大用户参与获取的感知数据具有多模态、富内容、时空性、人本性等特征。以群智大数据为目标对象，就其感知、优选和理解等关键问题进行阐述和探讨，并对笔者在该领域的最新研究成果进行介绍。

关键词: 移动群智感知, 群智大数据, 数据优选, 人机混合智能, 群体智能

Abstract:

Mobile crowdsensing (MCS) has become an emerging paradigm for large-scale sensing.It empowers ordinary citizens to contribute data sensed or generated from their mobile devices (e.g.,smartphones,wearable devices),aggregates and fuses the data in the cloud for crowd intelligence extraction and human-centric service delivery.The data contributed by the crowd in MCS systems presents the features such as multi-modal,rich-content,spatio-temporal,and human-centric.The key challenges and techniques about crowdsensing big data were discussed.The recent progress of our group in this promising research area was described.

Key words: mobile crowdsensing, crowdsensing big data, data selection, human-machine intelligence, crowd intelligence

中图分类号:

TP393

郭斌, 翟书颖, 於志文, 周兴社. 群智大数据：感知、优选与理解[J]. 大数据, 2017, 3(5): 57-69.

Bin GUO, Shuying ZHAI, Zhiwen YU, Xingshe ZHOU. Crowdsensing big data:sensing,data selection,and understanding[J]. Big Data Research, 2017, 3(5): 57-69.

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参考文献 39

[1]	SHETH A . Citizen sensing,social signals,and enriching human experience[J]. IEEE Internet Computing, 2009,13(4): 87-92.
[2]	ZHANG D , GUO B , YU Z . The emergence of social and community intelligence[J]. Computer, 2011,44(7): 21-28.
[3]	刘云浩 . 群智感知计算[J]. 中国计算机学会通讯, 2012,8(10): 38-41.
	LIU Y H . Crowd sensing and computing[J]. Communications of the CCF, 2012,8(10): 38-41.
[4]	GANTI R K , FAN Y , HUI L . Mobile crowdsensing:current state and future challenges[J]. IEEE Communications Magazine, 2011,49(11): 32-39.
[5]	BURKE J A , ESTRIN D , HANSEN M ,et al. Participatory sensing[C]// ACM SenSys Workshop on World Sensor Web,October 31November 3,2006,Boulder,USA. New York:ACM Press, 2006: 1-5.
[6]	LAZER D , PENTLAND A , ADAMIC L ,et al. Life in the network:the coming age of computational social science[J]. Science, 2009,323(5915):721.
[7]	ZHOU P , ZHENG Y , LI M . How long to wait? predicting bus arrival time with mobile phone based participatory sensing[C]// The 10th International Conference on Mobile Systems,Applications,and Services,June 25-29,2012,Low Wood Bay,UK. New York:ACM Press, 2012: 379-392.
[8]	LEE R , WAKAMIYA S , SUMIYA K . Discovery of unusual regional social activities using geo-tagged microblogs[J]. World Wide Web-internet ＆ Web Information Systems, 2011,14(4): 321-349.
[9]	ZHENG Y , XIE X . Learning travel recommendations from user-generated GPS traces[J]. ACM Transactions on Intelligent Systems and Technology, 2011,2(1): 1-29.
[10]	MAISONNEUVE N , STEVENS M , OCHAB B . Participatory noise pollution monitoring using mobile phones[J]. Information Polity, 2010,15(1): 51-71.
[11]	GUO B , CHEN H , YU Z ,et al. FlierMeet:a mobile crowdsensing system for cross-space public information reposting,tagging,and sharing[J]. IEEE Transactions on Mobile Computing, 2015,14(10): 2020-2033.
[12]	GUO B , WANG Z , YU Z W ,et al. Mobile crowd sensing and computing:the review of an emerging human-powered sensing paradigm[J]. ACM Computing Surveys, 2015,48(1): 1-31.
[13]	TURING A M . Computing machinery and intelligence[J]. Mind, 1950,59(263): 433-460.
[14]	LICKLIDER J C R . Man-computer symbiosis[J]. IRE Transactions on Human Factors in Electronics, 1960,HFE-1(1): 4-11.
[15]	PAN Y H . Special issue on artificial intelligence 2.0[J]. Frontiers of Information Technology ＆ Electronic Engineering, 2017,18(1): 1-2.
[16]	LEE J , HOH B . Sell your experiences:a market mechanism based incentive for participatory sensing[C]// 2010 IEEE International Conference on Pervasive Computing and Communications (PerCom),March 29-April 2,2010,Mannheim,Germany. New Jersey:IEEE Press, 2010: 60-68.
[17]	CHEN B B , CHAN M C . Mobicent:a credit-based incentive system for disruption tolerant network[C]// 2010 IEEE INFOCOM,March 14-19,2010,San Diego,USA. New Jersey:IEEE Press, 2010: 1-9.
[18]	KAWAJIRI R , SHIMOSAKA M , KAHIMA H . Steered crowdsensing:incentive design towards quality-oriented placecentric crowdsensing[C]// The 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing,September 13-17,2014,Seattle,USA. New York:ACM Press, 2014: 691-701.
[19]	REDDY S , ESTRIN D , SRIVASTAVA M . Recruitment framework for participatory sensing data collections[C]// The 8th International Conference on Pervasive Computing,May 17-20,2010,Helsinki,Finland. New York:ACM Press, 2010: 138-155.
[20]	ZHANG D , XIONG H , WANG L ,et al. Crowdrecruiter:selecting participants for piggyback crowdsensing under probabilistic coverage constraint[C]// The 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing,September 13-17,2014,Seattle,USA. New York:ACM Press, 2014: 703-714.
[21]	XIAO M , WU J , HUANG L ,et al. Multitask assignment for crowdsensing in mobile social networks[C]// 2015 IEEE Conference on Computer Communications,April 26-May 1,2015,Hong Kong,China. New Jersey:IEEE Press, 2015: 2227-2235.
[22]	XIAO M J , WU J , HUANG L ,et al. Online task assignment for crowdsensing in predictable mobile social networks[J]. IEEE Transactions on Mobile Computing, 2017,16(8): 2306-2320.
[23]	KARALIOPOULOS M , TELELIS O , KOUTSOPOULOS I . User recruitment for mobile crowdsensing over opportunistic networks[C]// IEEE INFOCOM’15,April 26May 1,2015,Hong Kong,China. New Jersey:IEEE Press, 2015: 2254-2262.
[24]	GUO B , CHEN H , NAN W ,et al. TaskMe:toward a dynamic and quality-enhanced incentive mechanism for mobile crowd sensing[J]. International Journal of Human Computer Studies, 2017,102(6): 14-26.
[25]	UDDIN M S , WANG H , SAREMI F ,et al. Photonet:a similarity-aware picture delivery service for situation awareness[C]// 2011 IEEE 32nd RealTime Systems Symposium,November 29December 2,2011,Vienna,Austria. New Jersey:IEEE Press, 2011: 317-326.
[26]	WANG Y , HU W , WU Y ,et al. Smartphoto:a resource-aware crowdsourcing approach for image sensing with smartphones[C]// The 15th ACM International Symposium on Mobile Ad Hoc Networking and Computing,August 11-14,2014,Philadelphia,USA. New York:ACM Press, 2014: 113-122.
[27]	WU Y , WANG Y , HU W ,et al. Resourceaware photo crowdsourcing through disruption tolerant networks[C]// 2016 IEEE 36th International Conference on Distributed Computing Systems (ICDCS),June 27-30,2016,Nara,Japan. New Jersey:IEEE Press, 2016: 374-383.
[28]	WU Y , MEI T , XU Y Q ,et al. Movieup:automatic mobile video mashup[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2015,25(12): 1941-1954.
[29]	TUITE K , SNAVELY N , HSIAO D Y ,et al. PhotoCity:training experts at large-scale image acquisition through a competitive game[C]// The SIGCHI Conference on Human Factors in Computing Systems,May 7-12,2011,Vancouver,Canada. New York:ACM Press, 2011: 1383-1392.
[30]	KAWAJIRI R , SHIMOSAKA M , KASHIMA H . Steered crowdsensing:incentive design towards quality-oriented place-centric crowd sensing[C]// The 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing,September 13-17,2014,Seattle,USA. New York:ACM Press, 2014: 691-701.
[31]	CHEN S , LI M , REN K ,et al. Crowd map:accurate reconstruction of indoor floor plans from crowdsourced sensor-rich videos[C]// 2015 IEEE 35th International Conference on Distributed Computing Systems,June 29-July 2,2015,Columbus,USA. New Jersey:IEEE Press, 2015: 1-10.
[32]	CRANSHAW J , TOCH E , HONG J ,et al. Bridging the gap between physical location and online social networks[C]// The 12th ACM International Conference on Ubiquitous Computing,September 26-29,2010,Copenhagen,Denmark. New York:ACM Press, 2010: 119-128.
[33]	REDI M , QUERCIA D , GRAHAM L T ,et al. predicting the ambiance of places with profile pictures[C]// The 9th International AAAI Conference on Web and Social Media,May 26-29,2015,Oxford,UK.[S.l.:s.n.], 2015:295.
[34]	ZHENG Y , SHEN G , LI L ,et al. Travinavi:self-deployable indoor navigation system[C]// The 20th Annual International Conference on Mobile Computing and Networking,September 7-11,2014,Maui,USA.[S.l.:s.n.], 2014: 471-482.
[35]	ZHENG Y , LIU F , HSIEH H P . U-Air:when urban air quality inference meets big data[C]// The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,August 11-14,2013,Chicago,USA. New York:ACM Press, 2013: 1436-1444.
[36]	LIU Y , GUO B , WANG Y ,et al. TaskMe:multi-task allocation in mobile crowd sensing[C]// The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing,September 12-16,2016,Heidelberg,Germany. New York:ACM Press, 2016: 403-414.
[37]	GUO B , CHEN H , HAN Q ,et al. Workercontributed data utility measurement for visual crowdsensing systems[J]. IEEE Transactions on Mobile Computing, 2017,16(8): 2379-2391.
[38]	CHEN H , GUO B , YU Z . CooperSense:a cooperative and selective picture forwarding framework based on tree fusion[J]. International Journal of Distributed Sensor Networks, 2016(1): 1-13.
[39]	CHEN H , GUO B , YU Z ,et al. Towardreal-time and cooperative mobile visual sensing and sharing[C]// The 35th Annual IEEE International Conference on Computer Communications,April 10-14,2016,San Francisco,USA. New Jersey:IEEE Press, 2016: 1-9.