混合群智感知中服务节点优化选择机制

摘要

移动群智感知应用依赖于以人为主导的移动用户参与,用户的移动规律和用户所携带感知设备的剩余资源等都会制约其参与感知服务的能力,从而影响系统的感知质量.现有研究工作对服务节点的选取操作比较单一,因此有必要设计合理的节点优化选择机制,选择到达并覆盖目标区域的最优服务节点集,从而保证对目标区域的感知质量.针对服务节点的优化选取展开研究,基于人的移动特性,定义节点服务度量标准,并结合遗传算法设计服务节点优化选取算法,从而提出一种新的服务节点优化选择机制.仿真实验表明,该机制可以有效选取最优服务节点集,达到提高混合群智网络感知服务质量的目的.%The application of crowd sensing depends on the participation of mobile users.The sensing ability of the user is subject to their movement pattern,the remaining resources of the portable device,and other factors.Existing research work on service nodes selection is relatively simple,therefore it is necessary to design an optimization selection mechanism for selecting optimal service nodes set,ensuring the sensing quality of the target area.Based on the movement characteristics of the user,we proposed and defined the service metrics.Then,we designed the optimization selection mechanism using the genetic algorithm.The simulation results show that optimization selection mechanism can effectively select the best service nodes set,and then improve the service quality of the hybrid crowd sensing.