| 基于感知数据概率模型的无线传感器网络采样和通信调度算法 |
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| 引用本文： | 李建中,石胜飞,王朝坤.基于感知数据概率模型的无线传感器网络采样和通信调度算法[J].计算机应用,2005,25(9):1982-1985. |
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| 作者姓名： | 李建中 石胜飞 王朝坤 |
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| 作者单位： | 哈尔滨工业大学计算机科学与工程系 |
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| 基金项目： | 国家自然科学基金资助项目（60473075） |
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| 摘 要： | 在无线传感器网络中,如何动态地管理能量,最大限度地延长网络的生命周期是一个关键的问题。文中提出了一种基于感知数据概率模型的传感器网络的采样和通信动态调度算法,使传感器节点根据感知数据的概率模型来确定自己的采样和通信时机,最小化采样频率和通信量,减少传感器节点的能量消耗,延长传感器网络的生命期。该算法是一种分布式算法,适用于无线传感器网络。该算法采用了简单的概率模型,资源需求量小,适合于在目前普遍使用的资源受限的传感器节点上运行。模拟试验结果表明,这种方法与其他方法相比,具有很高的能量有效性。
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| 关 键 词： | 无线传感器网络 感知数据概率模型 动态调度 能量管理 |
| 文章编号： | 1001-9081（2005）09-1982-04 |
| 收稿时间： | 2005-06-26 |
| 修稿时间： | 2005-06-26 |
Sampling and scheduling algorithm for wireless sensor networks based on sample data probability model |
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| LI Jian-zhong,SHI Sheng-fei,WANG Chao-kun.Sampling and scheduling algorithm for wireless sensor networks based on sample data probability model[J].journal of Computer Applications,2005,25(9):1982-1985. |
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| Authors: | LI Jian-zhong SHI Sheng-fei WANG Chao-kun |
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| Affiliation: | Department of Computer Science and Engineering,Harbin Institute of Technology,Harbin Heilongjiang 150001,China |
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| Abstract: | A key challenge in wireless sensor networks is to achieve maximal network lifetime with dynamic power management on sensor nodes. In this paper an adaptive node sampling and scheduling strategy based on probability model of data generated by sensor nodes was investigated. Compared to previous works on dynamic power management, this method concentrated on the characters of data. The node can schedule its sampling and communication time according to the prediction value of the model. The results of simulation confirm the energy efficiency of the algorithms compared with previous algorithms. |
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| Keywords: | wireless sensor networks sample data probability model dynamic scheduling energy management |
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