Multiresolution data integration using mobile agents in distributed sensor networks
Multiresolution data integration using mobile agents in distributed sensor networks
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DOI：
10.1109/5326.971666
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发表时间：
2001-08-01
期刊：
影响因子：
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通讯作者：
Chakrabarty, K
中科院分区：
文献类型：
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作者：
Qi, HR;Iyengar, SS;Chakrabarty, K
我们描述了使用移动代理范例来设计改进的基础设施，用于分布式传感器网络（DSN）中的数据集成。我们使用缩写 MADSN 来表示所提议的基于移动代理的 DSN。 MADSN 不是将数据移动到处理元件以进行数据集成（这是典型的客户端/服务器范例），而是将处理代码移动到数据位置。由于避免了大数据传输，因此可以节省网络带宽并提供克服网络延迟的有效方法。我们的主要贡献是在 DSN 中使用移动代理进行分布式数据集成以及 DSN 和 MADSN 方法之间的性能评估。我们开发了一种增强的多分辨率集成（MRI）算法，其中在移动代理累积重叠函数之前在本地节点应用多分辨率分析。与 DSN 中的 MRI 实现相比，增强型集成算法可节省高达 90% 的数据传输时间。我们开发目标函数来评估 DSN 和 MADSN 方法之间的性能。对于给定的一组网络参数，我们分析 MADSN 比 DSN 表现更好的条件，并确定 MADSN 达到最佳性能水平的条件。
We describe the use of the mobile agent paradigm to design an improved infrastructure for data integration in distributed sensor network (DSN). We use the acronym MADSN to denote the proposed mobile-agent-based DSN. Instead of moving data to processing elements for data integration, as is typical of a client/server paradigm, MADSN moves the processing code to the data locations. This saves network bandwidth and provides an effective means for overcoming network latency, since large data transfers are avoided. Our major contributions are the use of mobile agent in DSN for distributed data integration and the evaluation of performance between DSN and MADSN approaches. We develop an enhanced multiresolution integration (MRI) algorithm where multiresolution analysis is applied at local node before accumulating the overlap function by mobile agent. Compared to the MRI implementation in DSN, the enhanced integration algorithm saves up to 90% of the data transfer time. We develop objective functions to evaluation the performance between DSN and MADSN approaches. For a given set of network parameters, we analyze the conditions under which MADSN performs better than DSN and determine the condition under which MADSN reaches its optimum performance level.