计算机科学 ›› 2014, Vol. 41 ›› Issue (4): 1-8.

• 综述 •    下一篇

移动群体感知技术研究

熊英,史殿习,丁博,邓璐   

  1. 国防科技大学计算机学院并行与分布处理国防科技重点实验室 长沙410073;国防科技大学计算机学院并行与分布处理国防科技重点实验室 长沙410073;国防科技大学计算机学院并行与分布处理国防科技重点实验室 长沙410073;国防科技大学计算机学院并行与分布处理国防科技重点实验室 长沙410073
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家新一代宽带无线移动通信网专项课题(2011ZX03002-004-01)资助

Survey of Mobile Sensing

XIONG Ying,SHI Dian-xi,DING Bo and DENG Lu   

  • Online:2018-11-14 Published:2018-11-14

摘要: 移动互联网的不断成熟以及搭载各种传感器的智能终端的广泛应用和普及催生了全新的研究领域,即移动群体感知技术领域。移动群体感知是以人为中心的感知,人在感知过程中扮演着重要的角色,发挥着重要的作用。移动群体感知概念自提出以来,受到了学术界和工业界的广泛关注,移动群体感知技术广泛应用于交通、医疗健康等各个领域以及人们日常生活中的各个方面。首先从移动群体感知概念、感知模式、感知规模及其特性的角度阐述了移动群体感知的内涵;在此基础上,对群体感知技术的应用进行了分类,并且对现有典型的移动群体感知研究项目进行了分析、总结和比较;进而描述了移动群体感知技术向规模化、系统化发展的趋势及面向服务的“端+云”的移动群体感知体系架构;最后重点阐述了移动群体感知在大规模环境下所面临的全新挑战及应对策略。

关键词: 移动群体感知,感知模式,上下文感知,大数据融合

Abstract: Maturity of the mobile Internet and popularity of intelligent terminals equipped with various sensors have spawned a whole new field of research-mobile sensing.Mobile sensing is human-centric,in which human plays an important role.Since the concept of mobile sensing has been proposed,it has got academia and industry wide attention,which is also widely used in the field of transport,medical care and health,and many other fields as well as all aspects of our life.Above all,the paper expounded the connotations of mobile sensing from the perspective of the concept,sensing paradigms,sensing scale and the characteristic,upon this,classified the mobile sensing applications,and then analyzed,summarized and compared existing typical applications.Further more,it described mobile sensing trending to scale and systematic direction and service-oriented “terminal+cloud” mobile sensing architecture,and finally,focused on clarifying the new challenges and the strategies in the environment of large scale.

Key words: Mobile sensing,Sensing paradigms,Terminal context-aware sensing,Big data fusion

[1] Lane N D,Miluzzo E,Lu H,et al.A survey of mobile phone sensing[J].Communications Magazine,2010,48(9):140-150
[2] Hull B,Bychkovsky V,Zhang Y,et al.CarTel:a distributed mobile sensor computing system[C]∥SenSys’06,Proceedings of the 4th international conference on Embedded network sensor systems,SenSys’06,ACM.New York,NY,USA,2006:125-138
[3] Eisenman S B,Miluzzo E,Lane N D,et al.BikeNet:A mobilesensing system for cyclist experience mapping[J].ACM Transactions on Sensor Networks (TOSN),2009,6(1):6
[4] Miluzzo E,Lane N D,Fodor K O F,et al.Sensing meets mobile social networks:the design,implementation and evaluation of the CenceMe application[C]∥SenSys’08, Proceedings of the 6th ACM conference on Embedded network sensor systems,ACM.New York,USA:2008:337-350
[5] Murty R,Gosain A,Tierney M,et al.CitySense:A vision for an urban-scale wireless networking testbed[C]∥ Technologies for Homeland Security,2008IEEE Conference on.Waltham,MA, 2008:583-588
[6] Rana R K,Chou C T,Kanhere S S,et al.Ear-phone:an end-to-end participatory urban noise mapping system[C]∥ IPSN’10Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks,ACM.New York,USA, 2010:105-116
[7] Burke J A,Estrin D,Hansen M,et al.Participatory sensing[C]∥WSW’06,Mobile Device Centric Sensor Networks and Applications.2006:117-134
[8] Goldman J,Shilton K,Burke J,et al.Participatory Sensing:Acitizen-powered approach to illuminating the patterns that shape our world[R].Foresight & Governance Project,White Paper,2009
[9] Roggen D,Forster K,Calatroni A,et al.OPPORTUNITY:Towards opportunistic activity and context recognition systems[C]∥World of Wireless,Mobile and Multimedia Network & Workshops,2009.WoWMoM 2009.IEEE International Symposium on.IEEE,2009:1-6
[10] Reddy S,Estrin D,Srivastava M.Recruitment framework forparticipatory sensing data collections[M]∥Pervasive Computing.Springer,2010:138-155
[11] Reddy S,Shilton K,Burke J,et al.Evaluating participation and performance in participatory sensing[C]∥Int.Workshop on Urban,Community and Social Applications of Networked Sensing Systems.Raleigh,NC,2008:1-5
[12] Kapadia A,Kotz D,Triandopoulos N.Opportunistic sensing:Security challenges for the new paradigm[C]∥ First International Communication Systems and Networks and Workshops,2009.COMSNET 2009.IEEE,2009:1-10
[13] Lane N D,Eisenman S B,Musolesi M,et al.Urban sensing systems:opportunistic or participatory?[C]∥Proceedings of the 9th workshop on Mobile computing systems and applications.ACM,2008:11-16
[14] Kim S,Robson C,Zimmerman T,et al.Creek watch:pairing usefulness and usability for successful citizen science[C]∥Procee-dings of the SIGCHI Conference on Human Factors in Computing Systems.ACM,2011:2125-2134
[15] Zheng Y,Xie X,Ma W.Geolife:A collaborative social networking service among user,location and trajectory[J].IEEE Data Engineering Bulletin,2010,33(2):32-40
[16] Kranstauber B,Cameron A,Weinzerl R,et al.The Movebank data model for animal tracking[J].Environmental Modelling & Software,2011,26(6):834-835
[17] Mun M,Reddy S,Shilton K,et al.PEIR,the personal environmental impact report,as a platform for participatory sensing systems research[C]∥Proceedings of the 7th international conference on Mobile systems,applications,and services.ACM,2009:55-68
[18] Consolvo S,Mcdonald D W,Toscos T,et al.Activity sensing in the wild:a field trial of ubifit garden[C]∥Proceedings of the SIGCHI Conference on Human Factors in Computing Systems.ACM,2008:1797-1806
[19] CENS/UCLA.Participatory Sensing/Urban Sensing Projects.http://research.cens.ucla.edu
[20] Xing X,Liang Y,Cheng H,et al.SafeVchat:Detecting obscene content and misbehaving users in online video chat services[C]∥Proceedings of the 20th international conference on World Wide Web.ACM,2011:685-694
[21] Srivastava M,Abdelzaher T,Szymanski B.Human-centric sen-sing[J].Philosophical Transactions of the Royal Society A:Mathematical,Physical and Engineering Sciences,2012,370(1958):176-197
[22] Giordano S,Puccinelli D.The human element as the key enabler of pervasiveness[C]∥Ad Hoc Networking Workshop(Med-Hoc-Net),2011The 10th IFIP Annual Mediterranean.IEEE,2011:150-156
[23] Iida I,Morita T.Overview of Human-Centric Computing[J].Fujitsu Sci.Tech.J.,2012,48(2):124-128
[24] Ganti R K,Pham N,Ahmadi H,et al.GreenGPS:A participatory sensing fuel-efficient maps application[C]∥Proceedings of the 8th international conference on Mobile systems,applications,and services.ACM,2010:151-164
[25] Dutta P,Aoki P M,Kumar N,et al.Common sense:participatory urban sensing using a network of handheld air quality monitors[C]∥Proceedings of the 7th ACM conference on embedded networked sensor systems.ACM,2009:349-350
[26] Thiagarajan A,Ravindranath L,Lacurts K,et al.VTrack:accurate,energy-aware road traffic delay estimation using mobile phones[C]∥Proceedings the 7th ACM Conference on Embedded Networked Sensor Systems.ACM,2009:85-98
[27] Mcnamara L,Mascolo C,Capra L.Media sharing based on colocation prediction in urban transport[C]∥Proceedings of the 14th international conference on Mobile computing and networking.ACM,2008:58-69
[28] 於志文,於志勇,周兴社.社会感知计算:概念,问题及其研究进展[J].计算机学报,2012,35(1):16-26
[29] Froehlich J,Neumann J,Oliver N.Measuring the pulse of the city through shared bicycle programs[C]∥Proc.of UrbanSense08.2008:16-20
[30] Miluzzo E,Lane N D,Campbell A T,et al.CaliBree:A self-calibration system for mobile sensor networks[M]∥Distributed Computing in Sensor Systems.Springer,2008:314-331
[31] Lu H,Lane N,Eisenman S,et al.Bubble-sensing:A new paradigm for binding a sensing task to the physical world using mobile phones[C]∥Intl.Workshop on Mobile Devices and Urban Sensing.2008
[32] Eisenman S B,Lu H,Campbell A T.Halo:Managing node rendezvous in opportunistic sensor networks[M]∥Distributed Computing in Sensor Systems.Springer,2010:273-287

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!