边缘环境下的移动群智感知任务在线分发算法

Online Task Distribution Algorithm for Mobile Swarm Intelligence Perception in Edge Environment

为解决传统分发算法在边缘环境下正确中选概率低,影响分发精度问题,开展边缘环境下的移动群智感知任务在线分发算法。通过任务分发轨迹隐私定义,保证分发过程的安全性,并通过移动群智感知任务竞争热度预估、分发参与者任务获取、参与者选择与支付决策,完成对基于边缘环境的移动群智感知分布式任务获取。最后,通过集中式在线任务分配实现对移动群智感知任务的在线分发。通过实验证明,新的分发算法可以有效提高正确中选概率,提高任务分发精度。

In order to solve the problem that the probability of correct selection of traditional distribution algorithm in the edge environment is low,which affects the distribution accuracy,an online distribution algorithm of mobile swarm intelligence sensing task in the edge environment is developed.Through the privacy definition of task distribution trajectory,the security of the distribution process is ensured,and the mobile swarm intelligence aware distributed task acquisition based on edge environment is completed through the estimation of competitive heat of mobile swarm intelligence aware task,task acquisition of distribution participants,selection of participants and payment decision.Finally,the centralized online task allocation is used to realize the online distribution of mobile swarm intelligence sensing tasks.Experiments show that the new algorithm can effectively improve the probability of correct selection and the accuracy of task distribution.