摄像机网络中基于任务域的任务分配方法

Field-of-Task Based Task Assignment Method in Camera Networks

针对智能交通应用场景中摄像机网络的任务分配问题,提出一种基于任务域并综合考虑节点负载和任务服务质量的任务分配方法。在保证任务服务质量的基础上,使用了一种基于节点间相对价值的任务转移策略,并在嵌入式智能摄像机网络系统上实现了上述方法。实验结果表明,该方法相对于传统任务分配方法,系统平均资源利用率提高约50%,任务分配成功率提高约40%。

A task assignment method was proposed to address the task assignment issue of camera networks in the intelligent traffic systems. The workload of camera node and the task＇s quality of service are both taken into consideration with the introduction of fields of task. A task transfer approach has been put forward on the basis of the relative value between the adjacent camera nodes to ensure task＇s quality of service. The proposed method has been implemented in the embedded smart camera networks system. The experiment result demonstrate that the method could improve both the system average resource utilization of about 50% and the success ratio of the task assignment is about 40% when compared to conventional method.