Approximate Holistic Aggregation in Wireless Sensor Networks
Approximate Holistic Aggregation in Wireless Sensor Networks
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DOI：
10.1109/icdcs.2015.86
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发表时间：
2015-07
期刊：
影响因子：
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通讯作者：
Ji Li;Siyao Cheng;Yingshu Li;Zhipeng Cai
中科院分区：
文献类型：
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作者：
Ji Li;Siyao Cheng;Yingshu Li;Zhipeng Cai
整体聚合结果对于用户从无线传感器网络(WSNs)获取摘要信息具有重要意义。整体聚合需要将所有的感觉数据发送到水槽，这需要花费大量的能量。幸运的是，在大多数应用中，近似结果是可以接受的。研究了基于均匀抽样的近似整体集结算法。本文研究了四种整体集结操作。给出了构造其估计量和确定最优样本量的数学方法，并证明了这些方法的正确性。提出了四种相应的分布式整体算法。理论分析和仿真结果表明，该算法具有较高的性能。
Holistic aggregation results are important for users to obtain summary information from Wireless Sensor Networks (WSNs). Holistic aggregation requires all the sensory data to be sent to the sink, which costs a huge amount of energy. Fortunately, in most applications, approximate results are acceptable. We study the approximated holistic aggregation algorithms based on uniform sampling. In this paper, four holistic aggregation operations are investigated. The mathematical methods to construct their estimators and determine the optional sample size are proposed, and the correctness of these methods is proved. Four corresponding distributed holistic algorithms are presented. The theoretical analysis and simulation results show that the algorithms have high performance.