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作 者:Liang Xue Zhixin Liu Xinping Guan
机构地区:[1]institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, R R. China [2]School of Electronic, Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, R R. China
出 处:《Journal of Systems Engineering and Electronics》2011年第2期347-352,共6页系统工程与电子技术(英文版)
基 金:supported by the National Basic Research Program of China (973 Program) (2010CB731800);the National Natural Science Foundation of China (60934003; 60974123; 60804010);the Hebei Provincial Educational Foundation of China (2008147)
摘 要:Remote tracking for mobile targets is one of the most important applications in wireless sensor networks (WSNs). A target tracking protoco–exponential distributed predictive tracking (EDPT) is proposed. To reduce energy waste and response time, an improved predictive algorithm–exponential smoothing predictive algorithm (ESPA) is presented. With the aid of an additive proportion and differential (PD) controller, ESPA decreases the system predictive delay effectively. As a recovery mechanism, an optimal searching radius (OSR) algorithm is applied to calculate the optimal radius of the recovery zone. The simulation results validate that the proposed EDPT protocol performes better in terms of track failed ratio, energy waste ratio and enlarged sensing nodes ratio, respectively.Remote tracking for mobile targets is one of the most important applications in wireless sensor networks (WSNs). A target tracking protoco–exponential distributed predictive tracking (EDPT) is proposed. To reduce energy waste and response time, an improved predictive algorithm–exponential smoothing predictive algorithm (ESPA) is presented. With the aid of an additive proportion and differential (PD) controller, ESPA decreases the system predictive delay effectively. As a recovery mechanism, an optimal searching radius (OSR) algorithm is applied to calculate the optimal radius of the recovery zone. The simulation results validate that the proposed EDPT protocol performes better in terms of track failed ratio, energy waste ratio and enlarged sensing nodes ratio, respectively.
关 键 词:wireless sensor network target tracking protocol predictive algorithm recovery mechanism.
分 类 号:TP212[自动化与计算机技术—检测技术与自动化装置] TN929.5[自动化与计算机技术—控制科学与工程]
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