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机构地区:[1]桂林电子科技大学计算机科学与工程学院,桂林541004 [2]桂林空军学院科研部,桂林541003
出 处:《计算机系统应用》2012年第11期140-144,共5页Computer Systems & Applications
摘 要:无线传感器网络在探测目标时会遇到处理能力和能量缺乏的问题.引进压缩感知(Compressed Sampling简称CS)理论来实现数据的汇聚重构时,传统的路由不能满足其要求.根据ReInForM路由特点,提出一种ReInForM-CS路由算法.该路由算法根据信号准确恢复所需观测矩阵的数目,建立相对应的路径.仿真实验结果表明此算法在满足可靠性传输的同时,也保证了相应的图像观测矩阵个数.When the wireless sensor network explores the target, it may come across the question of treatment capacity and power deficiency. The traditional router can't meet with the needs of data, collecting and restructuring when importing of the theory of CS to achieve it. In accordance with the features of RelNForm router, we introduce a kind of ReINForm-CS router calculation, which sets up the relevant routes according to the observing matrix numbers needed by renewing signals currently. The results of Simulation experiment not only indicate the calculation fulfills accuracy transmission, but ensure the corresponding image observing matrix simultaneously.
分 类 号:TN929.5[电子电信—通信与信息系统] TP212.9[电子电信—信息与通信工程]
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