期刊文献+

传感器网络中基于环的负载平衡数据存储方法 被引量:19

A Load Balance Data Storage Method Based on Ring for Sensor Networks
下载PDF
导出
摘要 传统的以数据为中心的存储方法有一个非常严重的缺点:网络中存在着明显的热点区域,主要出现在sink和home节点周围.位于热点区域附近的节点所消耗的能量远大于网络内的其他节点,从而严重缩短了传感器网络的寿命.对于出现在sink周围的热点问题,采用在网络中分布多个sink节点的方式消除热点.对于出现在home节点周围的热点问题,提出基于环的负载平衡数据存储协议,并以此数据存储为基础,给出相应的查询处理算法消除热点.首先,负载平衡数据存储协议将传感器网络划分为多个环,在网络工作的某个时间段内,数据被分散存储在某个环内的多个节点上;其次,该存储结构的最大特点是,在不同时间段内,各环轮换工作进一步消除热点.最后,基于环的查询处理算法也是由环内的多个节点协作完成.基于环的负载平衡数据存储协议以及基于此存储协议的查询处理算法虽然在查询处理中所消耗的能量高于传统方法,但可以保证从数据存储到查询处理的整个过程中,网络的所有节点均匀地消耗能量,从而避免了传统方法中的热点问题,达到延长网络寿命的目的.实验表明,基于环的数据存储及查询处理算法可以解决传统上基于事件存储协议中出现的热点问题,并延长传感器网络的寿命. The traditional data centric storage method has a serious problem named hotspot problem, which appears near the sink and home node. Hotspot problem causes the nodes near the hotspot consume much more energy than other nodes, which seriously shortens the lifetime of the sensor networks. In this paper, a method distributing multiple sink nodes around the sensor networks is proposed to solve the hotspot problem around the sink. A load balance data storage method based on ring and a query processing algorithm for such a kind of data storage method are proposed to solve the hotspot problem around the home node. First, the ring based load balance data storage method divides the sensor networks into a lot of rings and stores data among all nodes within a ring. Second, different rings alternatively work during the working time of the network, which avoids the hotspot problem further. Finally, the query processing algorithm based on the load balance data storage method makes all nodes within a ring cooperatively answer the user's query. Although the ring based load balance data storage method and the query processing algorithm consume more energy than the traditional method when answering a user's query, the method makes all nodes within the network consume energy evenly, which avoids the hotspot problem of the traditional method, so the lifetime of sensor networks can be extended. Experimental results also show that the ring based load balance data storage method and the query processing algorithm can solve the hotspot problem and prolong the lifetime of the sensor networks.
作者 李贵林 高宏
出处 《软件学报》 EI CSCD 北大核心 2007年第5期1173-1185,共13页 Journal of Software
基金 Supported by the Key Program of National Natural Science Foundation of China under Grant No.60533110(国家自然科学基金重点项目) the National Natural Science Foundation of China under Grant No.60473075(国家自然科学基金) the National Grand Fundamental Research973Program of China under Grant No.2006CB303000(国家重点基础研究发展计划(973)) the Program for New Century Excellent Talents in University of China under Grant No.NCET-05-0333(新世纪优秀人才支持计划) the Key Program of the Natural Science Foundation of Heilongjiang Province of China under Grant No.ZJG03-05(黑龙江省自然科学基金重点项目) the Heilongjiang Province Scientific and Technological Special Fund for Young Scholars of China under Grant No.QC06C033(黑龙江省青年科技专项资金)
关键词 热点问题 负载平衡 以数据为中心的存储 查询处理 传感器网络 hotspot problem load balance data centric storage query processing sensor network
  • 相关文献

参考文献2

二级参考文献42

  • 1Ganesan D, Govindan R, Shenker S, Estrin D. Highly-Resilient, energy-efficient multipath muting in wireless sensor networks.Mobile Computing and Communications Review, 2002,1(2):295-298. 被引量:1
  • 2Braginsky D, Estrin D. Rumor routing algorithm for sensor networks. In: Raghavendra CS, ed. Proceedings of the 1st Workshop on Sensor Networks and Applications. New York: ACM Press, 2002. 被引量:1
  • 3Girod L, Bychkovskiy V, Elson J, Estrin D. Locating tiny sensors in time and space: A case study. In: Manoli Y, Kim KS, eds.Proceedings of the International Conference on Computer Design. Piscataway: IEEE Press, 2002. 195-204. 被引量:1
  • 4Bulusu N, Estrin D, Girod L, Heidemann J. Scalable coordination for wireless sensor networks: Self-Configuring localization systems. 2001. http://lecs.cs.ucla.edu/-bulusu/papers/Bulusu01c.html. 被引量:1
  • 5Cerpa A, Estrin D. ASCENT: Adaptive self-configuring sensor networks topologies. In: Kermani P, ed. Proceedings of the 21st International Annual Joint Conference of the IEEE Computer and Communications Societies. Piscataway: IEEE Press, 2002.101-111 被引量:1
  • 6Elson J. Time synchronization services for wireless sensor networks. In: Kumar V, ed. Proceedings of the 15th International Parallel & Distributed Processing Symposium. 2001. Los Alamitos: IEEE Computer Press, 2001. 1965-1970. 被引量:1
  • 7Ye W, Heidemann J, Estrin D. An energy-efficient MAC protocol for wireless sensor networks. In: Kermani P, ed. Proceedings of the 21st International Annual Joint Conference of the IEEE Computer and Communications Societies. Piscataway: IEEE Press,2002.91-100. 被引量:1
  • 8Heidemann J, Silva F, Intanagonwiwat C. Building efficient wireless sensor networks with low level naming. In: Marzullo K, ed.Proceedings of the 18th ACM Symposium on Operating System Principles. New York: ACM Press, 2001. 146-159. 被引量:1
  • 9Intanagonwiwat C, Govindan R, Estrin D, Heidemann J, Silva F. Directed diffusion for wireless sensor networking. ACM/IEEE Transactions on Networking, 2002, 11(1):2-16. 被引量:1
  • 10Liu J, Cheung P, Ouibas L, Zhao F. A dual-space approach to tracking and sensor management in wireless sensor networks. In:Reghavendrv CS, ed. Proceedings of the ACM International Workshop on Wireless Sensor Networks and Applications. New York:ACM Press, 2002. 162-173. 被引量:1

共引文献641

同被引文献249

引证文献19

二级引证文献479

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部