中文摘要：

针对无线传感器网络的任务协作处理的需求，提出了一种基于协作的复杂任务求解方法（CTSC），该方法首先根据任务图将划分后的任务模块进行分组，从而能够缩短任务响应延迟和有效减少通信能耗；其次基于一种节点等级域模型招标选取协作节点和确保任务分配的最优化，从而保证任务的高效处理和实现节点能耗均衡。通过仿真实验进行的与现有方法的比较的结果表明，CTSC方法更适合传感器网络处理复杂任务，该方法可以有效缩短节点的任务响应时间，并且能量消耗较少。

英文摘要：

To meet the needs of wireless sensor networks for cooperative task processing, a complicated task solution scheme based cooperation （CTSC） is proposed in this paper. The CTSC firstly divides task modules into different groups based on the task graph to reduce the response time of task processing and minimize the communication en- ergy consumption effectively. And then, the collaboration nodes are chosen by means of bid invitation based on a grade field model of sensor nodes. The grade field mechanism can ensure the optimal allocation of tasks to realize the balance of energy consumption and achieve the performance optimization. The comparison results obtained by a simulation experiment show that the CTSC is more suitable for large scale of wireless sensor networks, and it can ef- fectively reduce the response time of task processing with less energy consumption.