摘要
针对无线传感器网络中存在多对一的数据流,能量受限和冗余的低速数据等问题,提出以数据为中心的技术来实现网内数据融合从而达到高效能的数据分发,同时分析最佳化和次最佳化数据融合模型的性能及影响这些性能的因素,并着重分析使用数据融合得到的能量节省及其对鲁棒性和延迟的影响,体现数据融合在大范围的运作场景中的优越性能。
In order to solve the problems in wireless sensor networks, such as many-to-one flows, energy constraints and redundant low-rate data, this paper proposes data-centric technologies that perform in-networks aggregation to yield energy-efficient dissemination. Meanwhile, it analyzes the performance of the optimization and sub-optimization model ,and the factors affecting the performance. It emphasizes on analyzing the effect of data aggregation on energy costs, latency and robustness, and also indicates that data aggregation offers significant performance in wide range of application scenarios.
出处
《萍乡高等专科学校学报》
2008年第6期12-15,共4页
Journal of Pingxiang College
关键词
无线传感器网络
数据融合
能量节省
鲁棒性
延迟
wireless sensor networks
data aggregat ion
energy cost reduction
robustness
Latency
