传感技术学报
傳感技術學報
전감기술학보
Journal of Transduction Technology
2015年
7期
1046-1050
,共5页
无线传感器网络%目标跟踪%动态簇%预测机制%节能
無線傳感器網絡%目標跟蹤%動態簇%預測機製%節能
무선전감기망락%목표근종%동태족%예측궤제%절능
wireless sensor network%target tracking%dynamic cluster%prediction mechanism%energy conservation
无线传感器网络由大量能量有限的传感器节点组成,如何高效利用网络中节点的能量是无线传感器网络用于目标跟踪时研究的主要内容。合理构建动态簇可以有效降低网络的能量消耗,延长网络的生命周期,本文通过改进动态簇组建过程中簇头的选举和簇成员的征集过程,达到进一步节能的效果。其中,簇头的选择,综合考虑节点的能量和节点离目标的距离两个因素。簇成员的征集,同时考虑目标的移动速度和网络中节点的分布情况。同时,引入有效的预测机制,通过避免盲目的唤醒网络中的节点和降低跟踪延迟,可以进一步增强网络的跟踪性能,使跟踪过程更加有效和稳定。仿真结果表明本文算法在保证跟踪精度的前提条件下,可以有效节省网络中节点的能量。
無線傳感器網絡由大量能量有限的傳感器節點組成,如何高效利用網絡中節點的能量是無線傳感器網絡用于目標跟蹤時研究的主要內容。閤理構建動態簇可以有效降低網絡的能量消耗,延長網絡的生命週期,本文通過改進動態簇組建過程中簇頭的選舉和簇成員的徵集過程,達到進一步節能的效果。其中,簇頭的選擇,綜閤攷慮節點的能量和節點離目標的距離兩箇因素。簇成員的徵集,同時攷慮目標的移動速度和網絡中節點的分佈情況。同時,引入有效的預測機製,通過避免盲目的喚醒網絡中的節點和降低跟蹤延遲,可以進一步增彊網絡的跟蹤性能,使跟蹤過程更加有效和穩定。倣真結果錶明本文算法在保證跟蹤精度的前提條件下,可以有效節省網絡中節點的能量。
무선전감기망락유대량능량유한적전감기절점조성,여하고효이용망락중절점적능량시무선전감기망락용우목표근종시연구적주요내용。합리구건동태족가이유효강저망락적능량소모,연장망락적생명주기,본문통과개진동태족조건과정중족두적선거화족성원적정집과정,체도진일보절능적효과。기중,족두적선택,종합고필절점적능량화절점리목표적거리량개인소。족성원적정집,동시고필목표적이동속도화망락중절점적분포정황。동시,인입유효적예측궤제,통과피면맹목적환성망락중적절점화강저근종연지,가이진일보증강망락적근종성능,사근종과정경가유효화은정。방진결과표명본문산법재보증근종정도적전제조건하,가이유효절성망락중절점적능량。
Wireless sensor network is composed of a lot of energy limited sensor nodes,therefore,how to use the en?ergy of nodes in network efficiently is one of the major challenges for target tracking in sensor network. It proves the reasonable construction of dynamic cluster structure can not only reduce the network energy consumption effective?ly but also reinforce the lifecycle of the network. By improving methods of the choose of cluster heads and the selec?tion of the cluster members in the process of dynamic cluster construction,this paper is aimed to achieve the fur?ther effect of energy saving. The choose of cluster heads is based on the energy of the nodes and the distance from node to target. The selection of the cluster members takes the target's movement speed and the distribution of net?work nodes into consideration. And the introduction of effective prediction mechanism which can avoid waking up nodes in the network blindly and reduce the time delay of tracking process can further enhance the tracking perfor?mance of the network. In addition,the effective prediction mechanism makes the tracking process more effective and stable. The simulations show that the algorithm in this paper can save the energy of the nodes in the network ef?fectively under the tracking precision condition.