CrowdEVON: A Decentralized Mobile Crowdsensing Framework based on the Public EVONChain Architecture

In recent years, Mobile Crowdsensing(MCS) has become a hot topic in the construction of intelligent systems, garnering widespread attention. However, existing crowdsensing systems still struggle to adequately address issues of credibility and truthfulness. This paper proposes a secure MCS framework, CrowdEVON, based on a bi-tiered block-chain architecture called EVONChain, to achieve secure, reliable, and decentralized sensing data transactions. CrowdEVON employs a hybrid incentive mechanism combining currency and reputation. The system incorporates a reverse auction bidding mechanism, where workers willing to participate in sensing tasks bid according to their sensing costs. Consumers adopt a greedy strategy to select the workers with the best cost-performance ratio, ensuring the truthfulness of workers’ bids. Additionally, by designing a work rating mechanism and a rating check mechanism, the system ensures that workers’ efforts are accurately reflected, with rewards distributed based on ratings. CrowdEVON introduces homomorphic encryption to provide privacy preservation and to support the rating check mechanism theoretically. To reduce blockchain storage overhead, we upload sensing data to IPFS and store only the data hash pointers on the blockchain. We implemented our prototype in the form of smart contract using the Truffle development framework and deployed it in a local simulation network. Cost evaluation tests demonstrated the feasibility of the system, while performance evaluation tests proved that the system meets truthfulness and individual rationality requirements.