无线传感器网络的高能效的任务实时处理方法  

An energy-efficient method for real-time processing tasks for wireless sensor networks

作　　者：韩光洁[1,2] 张娜 董玉慧[1] 徐勇军[4] 王鹏[4] 

机构地区：[1]河海大学计算机与信息学院,常州213022 [2]常州市传感网与环境感知重点实验室,常州213022 [3]江苏省软件产品检测中心,南京210008 [4]中国科学院计算技术研究所,北京100190

出　　处：《高技术通讯》2013年第2期123-129,共7页Chinese High Technology Letters

基　　金：国家重大科技专项(2010ZX03006-002);国家自然科学基金(61173132);教育部留学回国人员科研启动基金;江苏省输配电装备技术重点实验室开放基金(2010JSSPD04);常州市传感网与环境感知重点实验室开放基金(CZSN201101)资助项目

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。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.

关 键 词：无线传感器网络 协作 任务 等级域 招标协议 

分 类 号：TP212.91[自动化与计算机技术—检测技术与自动化装置]