无线传感器网络中面向任务的分布式信息融合

Hongmei He, Zhenhuan Zhu, E. Makinen
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引用次数: 3

摘要

无线传感器网络可以通过Internet构成云计算基础的一部分。我们提出了一个面向任务的分布式数据融合框架,并研究了针对特定任务在网络节点上异构传感器的分配,假设网络已经自组织为具有固定协调器的临时静态层次结构。以一个经典数据库为例,从估计质量、计算可扩展性、实时性能、数据流和能耗五个方面对分布式数据融合的优点进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Task-oriented Distributed Information Fusion in Wireless Sensor Networks
A wireless sensor network may form a part of the base for cloud computing through Internet. We present a framework of task-oriented distributed data fusion, and investigate the assignments of heterogeneous sensors on nodes in the network for a specified task, assuming the network has been self-organized to be a temporally static hierarchy with fixed coordinators. The merits of the distributed data fusion are evaluated through a case study on a classic database from five aspects, quality of estimates, computing scalability, realtime performance, data flow, and energy consumption.
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