The Rise of Mobile Crowdsensing

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Presentation transcript:

The Rise of Mobile Crowdsensing Long Wang 2013-11-30

wanglong127@gmail.com, PLA UST Outline Introduction What is the mobile crowdsensing (MCS)? Why does it rise? Open issues in MCS Architecture, resource limitations, incentive mechanism, etc. Applications A bus arrival time prediction system (MobSys’12) An autonomous place naming system (IPSN’13) Conclusion & Insight 2018/11/29 wanglong127@gmail.com, PLA UST

wanglong127@gmail.com, PLA UST Outline Introduction What is the mobile crowdsensing (MCS)? Why does it rise? Open issues in MCS Architecture, resource limitations, incentive mechanism, etc. Applications A bus arrival time prediction system (MobSys’12) An autonomous place naming system (IPSN’13) Conclusion & Insight 2018/11/29 wanglong127@gmail.com, PLA UST

What Is Mobile Crowdsensing? 2018/11/29 wanglong127@gmail.com, PLA UST

Mobile Crowdsensing = Crowdsourcing + Mobile Devices + Sensing 众包+移动设备+感知 众包思想的兴起 移动设备的普及 移动设备的感知能力的大范围提高 Mobile Crowdsensing = Crowdsourcing + Mobile Devices + Sensing 2018/11/29 wanglong127@gmail.com, PLA UST

wanglong127@gmail.com, PLA UST Crowdsourcing is a powerful new way to gain innovative solutions. The term was coined to describe the process of outsourcing a task to an independent 'crowd' of experts who compete (or sometimes collaborate) to solve the problem. They are often rewarded for doing so. 2018/11/29 wanglong127@gmail.com, PLA UST

Wisedom of the Crowds --Crowdsourcing Expert $$$$ Masses $ Equivalent, or greater, utility under the Curve Utility 10 100 1000 10,000+ # of Contributors 2018/11/29 wanglong127@gmail.com, PLA UST

The Rise of Crowdsourcing Jeff Howe Wired Magazine, 2006 1714年 长距离航海遇到的定位问题——经度问题——悬赏20000英镑——约翰哈里森,一个木匠的儿子,发明了H4海洋计时器,解决了这一问题 丰田商标征集 悉尼歌剧院——建筑方案的悬赏征集 Youtube = crowdsourced entertainment / TV Wikipedia = crowdsourced knowledge 2018/11/29 wanglong127@gmail.com, PLA UST

wanglong127@gmail.com, PLA UST Mechanical Turk A story in the Middle Ages A crowdsourcing Internet marketplace 过去一个月来,我断断续续地参与了在亚马逊旗下最奇怪的生意:亚马逊土耳其机器人 我给色情行业打过工。 我做过有好几百个问题的调查问卷,透露了我的精神状况和政治倾向。我审查过网络内容。我帮助学校教师抓过抄袭者。我吹捧过房地产。为了多拿几美分我毁掉了自己的社交网络。 我的进账:13.25美元 “亚马逊土耳其机器人”是一种众包网络集市,雇主通过此Web服务可以提交一个任务请求,worker可以选择完成任务,并获得报酬,这个任务不是由计算机完成的,而是由服务后台的人工完成。 重要理念:将电脑无法完成的无数琐碎的脑力工作自动化 2018/11/29 wanglong127@gmail.com, PLA UST

wanglong127@gmail.com, PLA UST Why Does It Rise? 2018/11/29 wanglong127@gmail.com, PLA UST

The Proliferation of Smartphones 移动互联网的迅速发展 智能手机 智能手机的迅速普及 智能手机计算、存储、感知、通信能力的大幅提升 这两个趋势使得传感器节点实际上已经遍布世界各地 Data Source: IDC http://www.idc.com/getdoc.jsp?containerId=233553, Go-Gulf http://www.go-gulf.com/blog/smartphone 2013/11/14 maotianzhang@gmail.com, PLA UST

The Pervasiveness of Network Access 无处不在的接入网络 使得数目巨大的移动设备可以联系在一起发挥巨大的作用 2013/11/14 maotianzhang@gmail.com, PLA UST

Combination of Crowdsensing & IoT 智能手机——大规模部署的硬件有了,而且与人紧密相连 无线网络——全球范围内的智能手机理论上都是连接在一起的 我们忽然发现一个大规模部署的物联网实际上已经存在了,这里面蕴藏着巨大的机会!有大量的工作可以做 如此大规模的物联网与crowdsourcing相结合 会有什么样的新的火花呢? New concept New network paradigm 2018/11/29 wanglong127@gmail.com, PLA UST

Different sensing scale 不同层面,不同粒度的应用场景,带来了无尽的可能性,这 Cognitive capability! How can we achieve it ? 2018/11/29 wanglong127@gmail.com, PLA UST

wanglong127@gmail.com, PLA UST Outline Introduction What is the mobile crowdsensing (MCS)? Why does it rise? Open issues in MCS Architecture, resource limitations, incentive mechanism, etc. Applications A bus arrival time prediction system (MobSys’12) An autonomous place naming system (IPSN’13) Conclusion & Insight 2018/11/29 wanglong127@gmail.com, PLA UST

wanglong127@gmail.com, PLA UST Architecture 2018/11/29 wanglong127@gmail.com, PLA UST

wanglong127@gmail.com, PLA UST Resource Limitation Energy Energy-efficient protocols Bandwidth Cognitive radios Computation Cloud computing sensing Leverage existing sensor: wisee 2018/11/29 wanglong127@gmail.com, PLA UST

wanglong127@gmail.com, PLA UST Incentive Mechanism Based on game theory and auction theory [2] Dejun Yang, et al. Crowdsensing to Smartphones: Incentive Mechanism Design for Mobile Phone Sensing, MobiCom’12 2018/11/29 wanglong127@gmail.com, PLA UST

wanglong127@gmail.com, PLA UST Outline Introduction What is the mobile crowdsensing (MCS)? Why does it rise? Open issues in MCS Architecture, resource limitations, incentive mechanism, etc. Applications A bus arrival time prediction system (MobSys’12) An autonomous place naming system (IPSN’13) Conclusion & Insight 2018/11/29 wanglong127@gmail.com, PLA UST

Application overview MCS Applications Environmental Infrastructure Categories Environmental Natural Environment Infrastructure Public Infrastructure Social Personal information Common Sense: CO2, NOx PiMi: pm2.5 How long to wait: transit tracking. Parksense: detecting parking spot Bikenet: “most” bikeable routes autonomous place naming system 信号处理 2018/11/29 wanglong127@gmail.com, PLA UST

A Bus Arrival Time Prediction System (MobiSys’12) Participatory sensing Identifying the sound of card readers, leveraging the celltower as landmarks Identifying the sound of IC reader using smartphones System overview The celltowers as landmarks [2] Pengfei Zhou, et al. How Long to Wait?: Predicting Bus Arrival Time with Mobile Phone based Participatory Sensing 2018/11/29 wanglong127@gmail.com, PLA UST

wanglong127@gmail.com, PLA UST Arrival time prediction performance It performs better than LTA (Land Transport Authority) Accuracy (time prediction) < 160s 2018/11/29 wanglong127@gmail.com, PLA UST

An Autonomous Place Naming System (IPSN’13) Integrate crowdsensing data obtained from smartphone users with information in social network services (SNS) to provide the place name The same cluster (food place) for different sensing data (images) [3]Yohan Chon, et al. Autonomous Place Naming System using Opportunistic Crowdsensing and Knowledge from Crowdsourcing, IPSN’13 System overview 2018/11/29 wanglong127@gmail.com, PLA UST

wanglong127@gmail.com, PLA UST (a) Accuracy of related systems in business naming and (b) the CDF form of order of all places Crowdsensing-aided approach is better than the other two approaches 2018/11/29 wanglong127@gmail.com, PLA UST

wanglong127@gmail.com, PLA UST Outline Introduction What is the mobile crowdsensing (MCS)? Why does it rise? Open issues in MCS Architecture, resource limitations, incentive mechanism, etc. Applications A bus arrival time prediction system (MobSys’12) An autonomous place naming system (IPSN’13) Conclusion & Insight 2018/11/29 wanglong127@gmail.com, PLA UST

wanglong127@gmail.com, PLA UST Conclusion Existing large-scale mobile network Sensing Communication Deeply embeded in our daily life Crowdsensing New and powerful concept to be exploited Opportunities and challenges Privacy / personal preferences Incentives vs. energy, cost and explicit effort Trustworthiness of data BIG DATA Analytics Recommendations Adaptive planner 2018/11/29 wanglong127@gmail.com, PLA UST

wanglong127@gmail.com, PLA UST Insight The spirit of Internet: free, open and infinite possibility Mobile Internet——a grassroots revolution——nobody vs somebody Taobao: ¥ 35B for 11.11 Cainiao: single-day delivery all over China Alipay: Internet banking Vision is the basis of ability Tools Applications 2018/11/29 wanglong127@gmail.com, PLA UST

wanglong127@gmail.com, PLA UST Thanks! Any Questions? 2018/11/29 wanglong127@gmail.com, PLA UST