Mobile crowdsensing (MCS) is a valuable approach for data collection via personal devices, however, it faces challenges in data security and reward to end users. Blockchain is considered a viable addition to MCS, though few real integrations of this kind are deployed. In this paper, we explore the integration of blockchain into MCS, highlighting benefits and architectural adaptation challenges. We then present a novel mobile distributed application (MDapp) that serves crowdsourcers, workers, and verifiers in managing campaigns, data contribution and validation, as well as in the reward process. We also provide a quantitative analysis across different blockchains to highlight the feasibility and economic considerations of this integration.
Gigli, L., Montori, F., Galletti, G., Sciullo, L., Bedogni, L. (2023). Design and Development of a Mobile Dapp for Mobile Crowdsensing over EVM-enabled Blockchains [10.1145/3628354.3629531].
Design and Development of a Mobile Dapp for Mobile Crowdsensing over EVM-enabled Blockchains
Gigli, Lorenzo
Primo
;Montori, Federico;Sciullo, Luca;Bedogni, LucaUltimo
2023
Abstract
Mobile crowdsensing (MCS) is a valuable approach for data collection via personal devices, however, it faces challenges in data security and reward to end users. Blockchain is considered a viable addition to MCS, though few real integrations of this kind are deployed. In this paper, we explore the integration of blockchain into MCS, highlighting benefits and architectural adaptation challenges. We then present a novel mobile distributed application (MDapp) that serves crowdsourcers, workers, and verifiers in managing campaigns, data contribution and validation, as well as in the reward process. We also provide a quantitative analysis across different blockchains to highlight the feasibility and economic considerations of this integration.File | Dimensione | Formato | |
---|---|---|---|
3628354.3629531.pdf
accesso aperto
Tipo:
Versione (PDF) editoriale
Licenza:
Licenza per Accesso Aperto. Creative Commons Attribuzione (CCBY)
Dimensione
2.1 MB
Formato
Adobe PDF
|
2.1 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.