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数据存储是无线传感器网络的研究重点.本文分析无线传感器网络中数据存储和访问的相关代价,研究了网状拓扑结构网络中数据存放位置的选择问题.将数据存储问题抽象为传感器节点聚类问题,实现了三种基于聚类的分布式数据存储方法CBDS.为了能够降低能量消耗,CBDS依据生产者和消费者的位置信息、网络拓扑信息及数据速率计算数据存放位置,并且依据这些参数的变化自适应地调整数据存放位置.实验结果表明:CBDS较传统的数据存储方法不仅减少了能量消耗,延长了网络的生命周期,并且降低了访问延迟.
Data storage is the research focus of wireless sensor networks.This paper analyzes the related costs of data storage and access in wireless sensor networks and researches the selection of data storage locations in mesh topology networks.We abstract the data storage problem as the sensor node clustering problem , Three distributed data storage methods based on clustering CBDS are implemented.In order to reduce the energy consumption, CBDS calculates the data storage location according to the location information, network topology information and data rate of producers and consumers, and according to the change of these parameters Adaptively adjust the data storage location.Experimental results show that: CBDS traditional data storage methods not only reduce the energy consumption, extend the network life cycle, and reduce the access delay.