Simulation of crowdsensing task allocation in energy Xinghuo chain network
In order to improve the crowdsensing effect of Xinghuo chain network and reduce the task alloca-tion cost,a crowdsensing task allocation method of energy Xinghuo network is proposed.The lowest initial cost,cost and the lowest time cost are taken as the objective function to construct the task allocation model,and the whale optimization algorithm is used to obtain the best task allocation result.The priority execution order of the allocated tasks is determined according to the distance between the task and the starting position of the sensing device and the size of the time window.The allocated tasks are adjusted flexibly in combina-tion with the elastic time limit and reputation level of the sensing device user.Then,whether the sensing device user receives additional tasks is judged and the sensing task allocation is completed.The experiment results show that this method has the advantages of low cost of task allocation,large number of sensing de-vice users and high task execution efficiency.
万方数据
维普
