[1]易琼,王珺. 恶劣环境下无线传感器网络数据存储策略研究[J].计算机技术与发展,2015,25(11):139-144.
　YI Qiong,WANG Jun. Research on Data Storage Strategy in Wireless Sensor Networks Deployed in Challenging Environments[J].,2015,25(11):139-144.
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 恶劣环境下无线传感器网络数据存储策略研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年11期
页码:
139-144
栏目:
安全与防范
出版日期:
2015-11-10

文章信息/Info

Title:
 Research on Data Storage Strategy in Wireless Sensor Networks Deployed in Challenging Environments
文章编号:
1673-629X（2015)11-0139-06
作者:
 易琼; 王珺
 南京邮电大学 通信与信息工程学院
Author(s):
 YI Qiong; WANG Jun
关键词:
 ; 数据存储; 间歇式连接传感器网络; 数据重分配; 数据复制
Keywords:
 ; data storage; intermittently connected sensor networks; data redistribution; data replication
分类号:
TP393
文献标志码:
A
摘要:
 在恶劣环境下,无线传感器网络需要长时间监测大量数据,因而没有必要部署高功率的基站以收集实时的数据,而网络内节点包括sink节点在内又会由于各种原因(电池耗尽、敌人攻击、自然灾害等)发生故障,因此如何高效地存储感知数据成为恶劣环境下无线传感器网络的一个关键问题.文中对恶劣环境下无线传感器网络中已有的数据存储策略进行了综述.首先概述了无线传感器网络的结构模型和能量模型;然后详细探讨了各种数据存储策略,从引发节点失效的不同原因以及不同的优化目标对其进行分类,重点介绍了各存储策略的核心思想,并从适用性、节点能耗、网络生命周期等方面分析了各种实现方案的优缺点;最后给出了研究结论,并指出了该问题的进一步研究方向.
Abstract:
 In challenging environment,wireless sensor networks need to take a long time to monitor a large number of data,thus there is no need to deploy high-powered base stations to collect real-time data. Furthermore,sensor nodes including sink nodes may fail due to various reasons (battery depletion,enemy attacks and natural disasters) ,therefore,how to efficiently store sensory data in such cases be-comes a key issue. It reviews the existing data storage strategies for wireless sensor networks under harsh environments. First,the network model and energy model are introduced,then various data storage strategies are summarized,and classification is given from the perspec-tive of different causes of node failures and different optimization goals. Following that,the core idea of each storage strategy is discussed in detail. Meanwhile,their advantages and disadvantages are analyzed in terms of applicability,energy consumption and lifetime of net-work. Finally,some conclusions and potential future research directions for this problem are pointed out.

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更新日期/Last Update: 2016-01-05