王海涛, 宋丽华. 基于激励协作的参与式感知机制探究[J]. 电力信息与通信技术, 2021, 19(6): 9-14. DOI: 10.16543/j.2095-641x.electric.power.ict.2021.06.002
引用本文: 王海涛, 宋丽华. 基于激励协作的参与式感知机制探究[J]. 电力信息与通信技术, 2021, 19(6): 9-14. DOI: 10.16543/j.2095-641x.electric.power.ict.2021.06.002
WANG Haitao, SONG Lihua. Exploration of Participatory Sensing Mechanism Based on Incentive and Collaboration[J]. Electric Power Information and Communication Technology, 2021, 19(6): 9-14. DOI: 10.16543/j.2095-641x.electric.power.ict.2021.06.002
Citation: WANG Haitao, SONG Lihua. Exploration of Participatory Sensing Mechanism Based on Incentive and Collaboration[J]. Electric Power Information and Communication Technology, 2021, 19(6): 9-14. DOI: 10.16543/j.2095-641x.electric.power.ict.2021.06.002

基于激励协作的参与式感知机制探究

Exploration of Participatory Sensing Mechanism Based on Incentive and Collaboration

  • 摘要: 参与式感知亦称众包感知、社会协作感知或群体智能感知,随着大数据、人工智能和物联网的快速发展,参与式感知正变得日益流行并有巨大的市场潜力和广阔应用前景。鉴于参与式感知的激励协作机制是当前国内外学者的一个研究热点,文章分析了近年来参与式感知应用中激励机制的研究现状和工作进展,包括理论研究、实验研究和实际应用系统。首先,指出了参与式感知与激励协作之间的内在联系,说明了参与式感知的基本工作原理;然后,从用户、平台、激励措施和安全性等多个角度比较分析了现有机制的优缺点和应用场合。最后,列举了目前典型的参与式感知应用系统,并指出了该领域面临的挑战和今后的研究方向。

     

    Abstract: With the rapid development of big data, artificial intelligence and Internet of things, participatory sensing also called crowdsourcing sensing, social collaborative sensing or perception of swarm intelligence, is becoming increasingly popular and has great market potential and broad application prospect. In view of the fact that the incentive and collaboration mechanism of participatory sensing is a hot topic for scholars at home and abroad. This paper summarizes and reviews the research status and work progress of incentive mechanism in the application of participatory sensing in recent years, including theoretical research, experimental research and practical application system. First, the internal relationship between participatory sensing and incentive and collaboration is pointed out, and the basic working principle of participatory sensing is explained. Then, the advantages and disadvantages of the existing mechanism and its application are compared and analyzed from the perspectives of user, platform, incentive measures and security. Finally, the typical participatory sensing application system is listed, and the challenges and future research directions in this field are pointed out.

     

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