计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2013年
10期
109-113
,共5页
无线传感器网络%线性拟合%预测%目标跟踪%最小二乘法%定位
無線傳感器網絡%線性擬閤%預測%目標跟蹤%最小二乘法%定位
무선전감기망락%선성의합%예측%목표근종%최소이승법%정위
Wireless Sensor Networks(WSN)%piecewise linear approximation%prediction%target tracking%Least-Square(LS)%localization
在无线传感器网络中,目标的运动无规律可循,难以选取合理的数据对其进行预测,且在跟踪过程中易发生目标丢失的现象,不利于对目标的监测.通过分析目标运动趋势的变化特点,提出多级簇头结构和目标丢失的恢复策略,并改进线性拟合算法,选取某一阶段内的数据作为预测的数据源,以提高跟踪精度,降低目标丢失率.仿真结果表明,改进算法能够更充分地利用历史数据,在跟踪精度和目标丢失率方面具有良好的性能.
在無線傳感器網絡中,目標的運動無規律可循,難以選取閤理的數據對其進行預測,且在跟蹤過程中易髮生目標丟失的現象,不利于對目標的鑑測.通過分析目標運動趨勢的變化特點,提齣多級簇頭結構和目標丟失的恢複策略,併改進線性擬閤算法,選取某一階段內的數據作為預測的數據源,以提高跟蹤精度,降低目標丟失率.倣真結果錶明,改進算法能夠更充分地利用歷史數據,在跟蹤精度和目標丟失率方麵具有良好的性能.
재무선전감기망락중,목표적운동무규률가순,난이선취합리적수거대기진행예측,차재근종과정중역발생목표주실적현상,불리우대목표적감측.통과분석목표운동추세적변화특점,제출다급족두결구화목표주실적회복책략,병개진선성의합산법,선취모일계단내적수거작위예측적수거원,이제고근종정도,강저목표주실솔.방진결과표명,개진산법능구경충분지이용역사수거,재근종정도화목표주실솔방면구유량호적성능.
The target do irregularity motion in wireless sensor networks, make it difficult to select reasonable data to predict the target future position, meanwhile it is easy to happen target lost during tracking process and go against the target monitoring. By analyzing the change characteristic of target motion trend, the paper puts forward multi-cluster heads structure and target recovery strategy in order to improve the tracking accuracy and reduce traffic lost, then improves linear fitting method so that selects the appropriate data in a certain stage as prediction data. The simulation results show that the improved algorithm can use historical data efficient, and has good performance in tracking and prevent from drooping.
