A　comprehensive　evaluation　and　categorization　of　blockchain-based　mobile　crowdsensing　(MCS)　data　processing　was　conducted,　in　order　to　address　the　wide　participation　of　users,　the　flexible　mobility　of　collection　devices,　and　the　complexity　of　communication　environment　in　mobile　crowdsensing　data　processing.　Firstly,　the　developments　of　MCS　and　blockchain　were　reviewed,　and　the　challenges　of　MCS　data　processing　and　the　characteristics　of　blockchain　were　introduced.　Secondly,　a　blockchain-based　mobile　crowdsensing　architecture　(BMCA)　was　designed　to　achieve　decentralized　data　management,　data　security　assurance,　precise　data　quality　evaluation,　and　enhanced　credibility　of　incentives.　Then,　existing　data　processing　techniques　were　sorted　from　privacy-preserving,　data　quality　evaluation,　and　incentive　mechanism.　Finally,　the　current　problems　and　challenges　in　resource　consumption　control,　precise　data　analysis,　full-cycle　and　differentiated　privacy-preserving,　and　integrated　mode　application　of　blockchain-based　MCS　data　processing　research　were　discussed,　and　the　potential　future　research　direction　was　pointed　out.　©　2024　Zhejiang　University.　All　rights　reserved.