期刊文献+

一种基于哈希函数及能量均衡的事件查询算法

An event query algorithm based on Hash function and energy balancing
下载PDF
导出
摘要 在无线传感器网络中对于无固定位置的事件及查询是个重要的研究课题。结合高效及最大化网络生命周期,提出了一种基于哈希函数及能量均衡的事件查询算法。在该算法中,一个传感器节点只需要关心自己通信范围内的邻居节点,不需要知道整个网络的状况,算法具有冗余数据少、查询能耗小、网络生命周期长、实现简单等特点。借助OMNET++网络模拟器进行仿真实验,与经典路由算法比较,结果表明本算法能快速高效地进行事件查询,同时最小化及均衡能量消耗,延长了网络生命周期。 Unfixed location events and queries in wireless sensor networks is an important research topic.To achieve efficiency and maximizing the network life cycle,we propose an event query algorithm based on Hash function and energy balancing.In the algorithm,a sensor node only needs to care about the neighbor nodes within its communication range while not knowing the status of the entire network.The algorithm features less redundant data,less query energy consumption,a longer network life cycle,and ease of implementation.The simulation experiments in OMNET++ network simulator show that,compared with the classic routing algorithm,the proposed algorithm can query events quickly and effectively,while minimizing and balancing the energy consumption and prolonging the network life cycle.
出处 《计算机工程与科学》 CSCD 北大核心 2014年第11期2142-2147,共6页 Computer Engineering & Science
基金 湖南省教育厅科技资助项目(12C0884) 湖南省教育科学"十二五"规划课题资助项目(XJK012CGD034) 郴州市科技计划资助项目(2012cj120) 湖南省普通高校"十二五"网络工程专业综合改革试点资助项目(湘教通[2012]112号) 湘南学院计算机应用技术重点学科资助项目
关键词 无线传感器网络 哈希函数 能量均衡 事件查询 OMNET++ wireless sensor networks hash function energy balancing event query OMNET++
  • 相关文献

参考文献3

二级参考文献49

  • 1于海斌,曾鹏,王忠锋,梁英,尚志军.分布式无线传感器网络通信协议研究[J].通信学报,2004,25(10):102-110. 被引量:119
  • 2崔莉,鞠海玲,苗勇,李天璞,刘巍,赵泽.无线传感器网络研究进展[J].计算机研究与发展,2005,42(1):163-174. 被引量:730
  • 3Ganesan 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.
  • 4Braginsky 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.
  • 5Girod 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.
  • 6Bulusu 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.
  • 7Cerpa 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
  • 8Elson 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.
  • 9Ye 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.
  • 10Heidemann 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.

共引文献658

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