CAJ | 학술논문

无线传感器网络中传感器节点相互协同完成感知任务,以传感器量测的信息效用和获取量测的能量消耗来折中地选择参与的节点,但用户对服务质量Qos( Quality of Service)的需求并没有在节点选择时得以体现。为此本文以目标跟踪为应用背景,提出了一种自适应动态协同自组织算法A-DCS,该算法同时完成检测与状态估计任务,首先根据用户设定的检测概率,确定候选节点集合,选择具有最大检测概率的节点为簇首；随之根据给定的状态估计精度,自适应确定参与感知任务的簇成员顺序和个数。统计不同检测概率和状态估计精度时相应的能量消耗,以此作为系统设计时参数设定的依据,从而最大可能地延长网络的生命周期。仿真表明：在跟踪精度和能量消耗两个指标下,该算法优于IDSQ和DCS。 A-DCS也适用于传感器网络系统中的其他估计问题。
무선전감기망락중전감기절점상호협동완성감지임무,이전감기량측적신식효용화획취량측적능량소모래절중지선택삼여적절점,단용호대복무질량Qos( Quality of Service)적수구병몰유재절점선택시득이체현。위차본문이목표근종위응용배경,제출료일충자괄응동태협동자조직산법A-DCS,해산법동시완성검측여상태고계임무,수선근거용호설정적검측개솔,학정후선절점집합,선택구유최대검측개솔적절점위족수；수지근거급정적상태고계정도,자괄응학정삼여감지임무적족성원순서화개수。통계불동검측개솔화상태고계정도시상응적능량소모,이차작위계통설계시삼수설정적의거,종이최대가능지연장망락적생명주기。방진표명：재근종정도화능량소모량개지표하,해산법우우IDSQ화DCS。 A-DCS야괄용우전감기망락계통중적기타고계문제。
Sensors should be selected elaborately to fulfil the sensing task in wireless sensor networks,sensor selec-tion is based on the tradeoff between information utility achieved by the sensor measure and energy overhead to fetch the measure. But the users’ requirements for quality of service( QoS) aren’t yet involved in the process of sensor col-laboration. A novel algorithm named A-DCS( Adaptively Dynamic Collaborative Self-organization) is proposed based on target tracking in this paper. Detection and estimation can be solved at the same tine in this algorithm. Given the threshold of detection probability the set of candidate sensor nodes can be confirmed,the sensor node with the maxi-mum detection probability is selected to be the cluster head. Then the sequence of cluster members participating in the sensing task can be made adaptively according to the given threshold of estimation variable,so the total number of cluster member should be ascertained in our method,and the corresponding energy consumption is given out. Ba-sing on the energy consumption under the condition of different detection probability and estimation accuracy the ap-propriate detection probability and estimation accuracy should be chosen to prolong the lifetime of networks. Simula-tion results demonstrate that this algorithm is superior to IDSQ and DCS in terms of the tracking accuracy and the energy consumption. This method can also be used in the problem of estimation in wireless sensor network.