Design and Development of a Mobile Dapp for Mobile Crowdsensing over EVM-enabled Blockchains
Author:
Affiliation:
1. University of Bologna, Italy
2. University of Modena and Reggio, Emilia, Italy
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3628354.3629531
Reference18 articles.
1. A Lightweight Blockchain-Based Model for Data Quality Assessment in Crowdsensing
2. Juan Benet. 2014. Ipfs-content addressed, versioned, p2p file system. arXiv preprint arXiv:1407.3561 (2014).
3. Nirupama Bulusu, Chun Tung Chou, Salil Kanhere, Alex Dong, Shitiz Sehgal, David Sullivan, and Lupco Blazeski. 2008. Participatory sensing in commerce: Using mobile camera phones to track market price dispersion. (01 2008).
4. On blockchain integration into mobile crowdsensing via smart embedded devices: A comprehensive survey
5. Kryptosafe: managing and trading data sets using blockchain and IPFS
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1. Research Progress on Incentive Mechanisms in Mobile Crowdsensing;IEEE Internet of Things Journal;2024-07-15
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