Incentive Method Of Electric Vehicle Charing Planning Path Based On Blockchain

The development of electric vehicles is becoming more and more mature,but the charging resources have not met its growing demand.Real-time navigation based on blockchain crowdsourcing plays an important role in charging electric vehicles.How to motivate miners to calculate the crowd-sourcing task in the process of obtaining crowdsourcing for path planning directly affects the quality of path planning.Therefore,this paper proposes an incentive method based on reputation and probability statistics to encourage miners to improve their reputation and maintain integrity for the mining integrity of blockchain.Aiming at the problem of miner selection through crowd-sourcing of road condition information,a miner incentive strategy based on spatial crowd-sourcing and reverse auction is proposed to improve the efficiency of miner selection and the quality of road condition crowd-sourcing and ensure the accuracy and timeliness of path planning.The main contents are as follows:First of all,aiming at the problem of the integrity of blockchain mining,a kind of incentive method based on reputation and probability statistics is proposed.Firstly,the reputation weight model is introduced to calculate the instantaneous reputation and the degree of deviation by using the proposed algorithm according to the historical reputation records of miners.Then,according to the historical reputation records of miners,the mining selection strategy is estimated and predicted by using parameter interval.Finally,the selection strategy and reputation are considered comprehensively,reputation records are updated,and rewards are issued in combination with penalty functions.According to the proposed algorithm,the reputation level of miners is improved and the deviation degree is reduced.The purpose of the algorithm is to encourage miners to continue to maintain honest behavior and improve the quality of blockchain mining.Secondly,a miner incentive method based on spatial crowdsourcing and reverse auction was proposed to solve the problem of miner selection in the crowd-sourcing task of road condition information.Firstly,the subjective reputation and the objective reputation constitute the global reputation.On this basis,the spatial trust value is calculated by combining the distance and duration factors,and a miner selection strategy based on budget allocation is proposed.Then,by introducing the unit space trust cost of miners,the incentive method of miners based on reverse auction is proposed.Finally,the optimal set of miners is selected by the proposed method.This approach is designed to encourage miners to participate in crowdsourcing tasks,maximize the limited budget of requested vehicle,and achieve a win-win situation with miners.Finally,simulation experiments are carried out on the incentive method based on probability statistics and reputation and the incentive method based on spatial crowdsourcing and reverse auction,and the experimental data are analyzed to prove the correctness and effectiveness of the proposed method.