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The application of blockchain technology in data trading: a systematic review. [PDF]

PeerJ Comput Sci
Xiong W, Shao H, Ge H.
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Characterizing smartphone capabilities for seismic and structural monitoring. [PDF]

Sci Rep
Vezio P, Mingozzi E, Passarella A, Poli N.   +3 more
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Comprehensive analysis of security threats and privacy issues in indoor localization systems. [PDF]

Sci Rep
Ayub A, Abidin ZZ, Alhammadi A, Khan MA, Soliman NF, Ghazali NB, Algarni AD.   +6 more
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Incentive Mechanisms for Crowdsensing

ACM Transactions on Sensor Networks, 2020
Crowdsensing is a popular method that leverages a crowd of sensor users to collect data. For many crowdsensing applications, the collected raw data need to be preprocessed before further analysis, and the preprocessing work is mainly done by the crowdsourcer.
Zhao Liu, Kenli Li, Xu Zhou, Ningbo Zhu, Keqin Li   +4 more
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Piggyback CrowdSensing (PCS)

Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems, 2013
Fueled by the widespread adoption of sensor-enabled smartphones, mobile crowdsourcing is an area of rapid innovation. Many crowd-powered sensor systems are now part of our daily life -- for example, providing highway congestion information. However, participation in these systems can easily expose users to a significant drain on already limited mobile ...
Nicholas D. Lane, Yohan Chon, Lin Zhou, Yongzhe Zhang, Fan Li, Dongwon Kim, Guanzhong Ding, Feng Zhao, Hojung Cha   +8 more
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Jump-start crowdsensing: A three-layer incentive framework for mobile crowdsensing

2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS), 2017
In the past decade, with the rapid development of wireless communication and sensor technology, ubiquitous smartphones equipped with increasingly rich sensors have more powerful computing and sensing abilities. Thus, mobile crowdsensing has received extensive attentions from both industry and academia.
null Yatong Chen, null Huangxun Chen, null Shuo Yang, null Xiaofeng Gao, null Fan Wu   +4 more
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Incentive mechanisms for crowdsensing

2018 IEEE Long Island Systems, Applications and Technology Conference (LISAT), 2018
Crowd sensing is a mechanism that facilitates the company to accomplish by depurating the people. It provides the temporary and voluntary service supporter. However, crowdsensing experiences the problem due to user selection and payment determination. Thus problems deteriorate the incompleteness of task at present.
Razque, Abdul, Amsaad, Fathi, Jiazhi, Li, Huayue, Gu, Hassan, Abdalraouf   +4 more
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Density-aware compressive crowdsensing

Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017
Crowdsensing systems collect large-scale sensor data from mobile devices to provide a wide-area view of phenomena including traffic, noise and air pollution. Because such data often exhibits sparse structure, it is natural to apply compressive sensing (CS) for data sampling and recovery.
Xiaohong Hao, Liwen Xu, Nicholas D. Lane, Xin Liu, Thomas Moscibroda   +4 more
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Secure mobile crowdsensing game

2015 IEEE International Conference on Communications (ICC), 2015
By recruiting sensor-equipped smartphone users to report sensing data, mobile crowdsensing (MCS) provides location-based services such as environmental monitoring. However, due to the distributed and potentially selfish nature of smartphone users, mobile crowdsensing applications are vulnerable to faked sensing attacks by users who bid a low price in ...
Liang Xiao, Jinliang Liu, Qiangda Li, H. Vincent Poor   +3 more
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Crowdsensing Under (Soft) Control

2015 IEEE Conference on Computer Communications (INFOCOM), 2015
Crowdsensing leverages the pervasiveness and power of mobile devices, such as smartphones and tablets, to enable ordinary citizens to collect, transport and verify data. Application domains range from environment monitoring, to infrastructure management and social computing.
John P. Rula, Fabian E. Bustamante
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