海王星:优化传感器网络

S. K. Wahba, S. Dandamudi, Andrew R. Dalton, J. Hallstrom
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引用次数: 5

摘要

我们提出了用于传感器网络优化的海王星方法和支持系统架构。NePTune依赖于具有性能监视、动态源代码生成和网络重编程的控制回路策略。我们提出了一个系统架构的应用,并探讨了它在资源利用问题的背景下的有效性-特别是,最小化邻居管理服务的内存消耗。所有实验都是在一个由80个Tmote Sky节点组成的物理网络测试台上进行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NePTune: Optimizing Sensor Networks
We present the NePTune approach and supporting system architecture for sensor network optimization. NePTune relies on a control loop strategy with performance monitoring, dynamic source code generation, and network reprogramming. We present an application of the system architecture and explore its efficacy in the context of a resource utilization problem - specifically, to minimize the memory consumption of a neighborhood management service. All experiments are conducted using a physical network testbed consisting of 80 Tmote Sky nodes.
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