传感技术学报
傳感技術學報
전감기술학보
Journal of Transduction Technology
2014年
1期
135-141
,共7页
董传明%刘克中%罗广%金湖庭
董傳明%劉剋中%囉廣%金湖庭
동전명%류극중%라엄%금호정
无线传感器网络%事件检测%容错%时空特征
無線傳感器網絡%事件檢測%容錯%時空特徵
무선전감기망락%사건검측%용착%시공특정
wireless sensor networks%event detection%fault tolerant%spatial-temporal characteristics
由于节点经常布置于恶劣的环境中以及节点自身资源的有限性,节点在运行过程中容易发生漏警错误和虚警错误,因此容错的事件检测方法受到了广泛的重视与研究。但传统方法在性能上表现出计算复杂度高和能耗大的特点,针对此,引入雷达目标检测中Cth/m的检测思想,提出一种基于时空特性的检测方法。该方法通过观察节点采样值数据变化率与时间特性相似度来判断是事件发生还是节点出错。方法在一次迭代过程中,节点只需做m次距离比较和一次邻居状态查询,根据节点间的空间特性做出决策,表现出轻量级和低能耗的特点。仿真表明,方法还具有较低的漏警率和虚警率以及较高的故障识别率。此外,由于引入了节点可信度自适应调整机制,方法能够保证事件检测概率在迭代过程中一直保持较高水平,而不随时间恶化。
由于節點經常佈置于噁劣的環境中以及節點自身資源的有限性,節點在運行過程中容易髮生漏警錯誤和虛警錯誤,因此容錯的事件檢測方法受到瞭廣汎的重視與研究。但傳統方法在性能上錶現齣計算複雜度高和能耗大的特點,針對此,引入雷達目標檢測中Cth/m的檢測思想,提齣一種基于時空特性的檢測方法。該方法通過觀察節點採樣值數據變化率與時間特性相似度來判斷是事件髮生還是節點齣錯。方法在一次迭代過程中,節點隻需做m次距離比較和一次鄰居狀態查詢,根據節點間的空間特性做齣決策,錶現齣輕量級和低能耗的特點。倣真錶明,方法還具有較低的漏警率和虛警率以及較高的故障識彆率。此外,由于引入瞭節點可信度自適應調整機製,方法能夠保證事件檢測概率在迭代過程中一直保持較高水平,而不隨時間噁化。
유우절점경상포치우악렬적배경중이급절점자신자원적유한성,절점재운행과정중용역발생루경착오화허경착오,인차용착적사건검측방법수도료엄범적중시여연구。단전통방법재성능상표현출계산복잡도고화능모대적특점,침대차,인입뢰체목표검측중Cth/m적검측사상,제출일충기우시공특성적검측방법。해방법통과관찰절점채양치수거변화솔여시간특성상사도래판단시사건발생환시절점출착。방법재일차질대과정중,절점지수주m차거리비교화일차린거상태사순,근거절점간적공간특성주출결책,표현출경량급화저능모적특점。방진표명,방법환구유교저적루경솔화허경솔이급교고적고장식별솔。차외,유우인입료절점가신도자괄응조정궤제,방법능구보증사건검측개솔재질대과정중일직보지교고수평,이불수시간악화。
Due to harsh environment and limited resources,nodes are prone to missed alarm and false alarm errors when in the process of running,so fault-tolerant event detection methods attract much attention in recent years. But traditional algorithms showed high computational complexity and high energy consumption. Aim at this,we adopt the Cth/m detection idea in radar target detection, and propose a detection method based on spatial-temporal characteristics. By observing the agreement between sample’s changing rate and the spatial-temporal characteristics, nodes can determine whether event happens or error occurs. During the detecting process,nodes are only required to do m times distance comparison and one time neighbor query, then it can make decision, reflecting the light weighting and low power consumption characteristics of the method. Simulation results show that the method also has low missed alarm rate and false alarm rate, and high fault recognition rate. In addition, as credibility adaptive adjustment mechanism is introduced,the method can ensure event detection probability maintained at a high level in the iterative process and not deteriorate over time.