一种无线传感器网络非线性抽样能耗优化方案  

A Nonlinear Sampling Method for Energy Consumption Optimization in Wireless Sensor Networks

作　　者：杨海波[1] 蒋燕君[1] 姚庆栋[2] 

机构地区：[1]浙江树人大学信息科技学院,浙江杭州310015 [2]浙江大学信息与电子工程系,浙江杭州310027

出　　处：《计算机仿真》2008年第5期137-142,共6页Computer Simulation

基　　金：浙江省自然科学基金资助项目(Y105346)

摘　　要：无线传感器网络现有的各种能耗优化技术大多隐含假设应完整地收集和传递感知数据,从而侧重于信息收集和传输过程的能量节约和能耗平衡。提出了一种新的能耗优化方案,首先利用感知相关性完成监控同一目标的所有传感器的完全聚类;然后根据类内节点感知数据的空域相关性与事件源活动的随机性,在保证应用精度的前提下,非线性地选取感知数据收集节点,仿真结果表明方案能够充分削减感知数据中冗余细节的收集和传输,大大降低活动事件源监控节点的能耗,延长网络寿命。All kinds of present methods for energy consumption optimization in wireless sensor networks are generally implicitly supposed to collect and transmit sense data completely so as to focus on energy reduction and energy consumption balance when information being collected and transmitted. In this paper a new method for energy consumption optimization is proposed, which at first applies the principle of sense correlation to realize complete clustering for all sensor nodes monitoring the same target, then samples sense data collecting nodes in a nonlinear manner according to spatial correlation among the sense data of member nodes with the condition of ensuring the application accuracy. Simulation results demonstrate that the collection and transmission of redundant details in sense data will be reduced sufficiently by using this method, so that energy consumption of sensor nodes monitoring active event sources will be largely lowered and thus longevity of the networks will be prolonged.

关 键 词：感知相关 聚类 空域抽样 

分 类 号：TP393.02[自动化与计算机技术—计算机应用技术]