个人信息Personal Information
副教授
博士生导师
硕士生导师
任职 : 大数据研究所副所长
性别:男
毕业院校:哈尔滨工程大学
学位:博士
所在单位:软件学院、国际信息与软件学院
学科:软件工程
办公地点:大连理工大学软件学院综合楼219
联系方式:+86-0411-62274379
电子邮箱:wanliangtian@dlut.edu.cn
Mobile Crowdsourcing in Smart Cities: Technologies, Applications, and Future Challenges
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论文类型:期刊论文
发表时间:2019-10-01
发表刊物:IEEE INTERNET OF THINGS JOURNAL
收录刊物:SCIE、EI
卷号:6
期号:5,SI
页面范围:8095-8113
ISSN号:2327-4662
关键字:Cooperative computing; incentive mechanisms; Internet of Things (IoT); mobile crowdsourcing (MCS); mobility; resource sharing; smart cities; task scheduling
摘要:Local administrations and governments aim at leveraging wireless communications and Internet of Things (IoT) technologies to manage the city infrastructures and enhance the public services in an efficient and sustainable manner. Furthermore, they strive to adopt smart and cost-effective mobile applications to deal with major urbanization problems, such as natural disasters, pollution, and traffic congestion. Mobile crowdsourcing (MCS) is known as a key emerging paradigm for enabling smart cities, which integrates the wisdom of dynamic crowds with mobile devices to provide decentralized ubiquitous services and applications. Using MCS solutions, residents (i.e., mobile carriers) play the role of active workers who generate a wealth of crowdsourced data to significantly promote the development of smart cities. In this paper, we present an overview of state-of-the-art technologies and applications of MCS in smart cities. First, we provide an overview of MCS in smart cities and highlight its major characteristics. Second, we introduce the general architecture of MCS and its enabling technologies. Third, we study novel applications of MCS in smart cities. Finally, we discuss several open problems and future research challenges in the context of MCS in smart cities.