A mobile crowdsourcing data acquisition and processing system and method based on a block chain

Abstract

The invention belongs to the technical field of transmission control regulations, such as data link level control regulations, and discloses a mobile crowdsourcing data acquisition and processing system and method based on a block chain. The miner discovers other miner nodes in the block chain network, downloads the block chain content and builds a block chain system together; The user issues thetask to the block chain through the miner, and the miner recruits the working node to complete the corresponding task. Collection and trust evaluation of feedback information: after the task is completed, a miner collects the feedback information of each node participating in the task and completes trust evaluation work of the nodes. Block generation and selection: a miner checks whether the information on the block satisfies a condition of generating a new block, generates the new block if the information on the block satisfies the condition of generating the new block, and broadcasts the block in the block chain network to achieve consistency. According to the invention, an incentive mechanism and system security of a miner are realized without depending on the presence of online currency; The bifurcation problem existing in the existing block chain technology is solved; Execution efficiency is high.

Description

Technical field [0001] The invention belongs to the technical field of transmission control procedures, such as data link-level control procedures, and in particular relates to a block chain-based mobile crowdsourcing data processing system, method, and computer. Background technique [0002] At present, the existing technology commonly used in the industry is as follows: Mobile Crowdsourcing (MCS) is a data collection and processing system that uses mobile devices as sensors to collect data. MCS directly uses mobile devices to collect data. It has the advantages of low cost, greater sensing range, high flexibility, and no need for pre-deployment. Therefore, it has been favored and widely concerned by academia and industry. However, because the data collected in MCS usually concerns the privacy of the data collector or the object of collection, the safety and privacy protection of MCS have become important issues related to its development. As a new type of data collection metho...

AI Technical Summary

Problems solved by technology

[0005] (1) Existing blockchain systems (such as Bitcoin, Ethereum, etc.) require the existence of currency on the chain as an incentive to encourage miners to mine and maintain the blockchain system. And other factors and lack of stability, and ultimately affect the stability of the system

[0006] (2) There is a bifurcation problem in the existing blockchain, that is, there are multiple branch chains in the blockchain for a period of time. At this time, the information on the blockchain cannot reach a consensus. Observing and determining the longest branch chain to achieve consensus, causing a certain delay and waste of computing resources

For example: the workload proof mechanism adopted by the Bitcoin system, the block generation speed is ten minutes each, and the node needs to wait for 6 blocks when recording the transaction on the blockchain, that is, it needs to wait for 60 minutes to guarantee, and

Images