期刊文献+

传感器网络中具有负载平衡的移动协助数据收集模式 被引量:35

Movement-Assisted Data Gathering Scheme with Load-Balancing for Sensor Networks
下载PDF
导出
摘要 数据收集是无线传感器网络的一个基本功能.然而,现有的数据收集模式大都是基于静止基站的网络结构,导致基站周围的节点由于担负着网络内的所有负载而快速死亡,成为网络性能的瓶颈.研究如何利用移动基站收集数据来达到负载平衡.提出了一个利用移动基站协助数据收集的模式(movement-assisted data gathering,简称MADG),它将基站移动区域设置为缓冲区,首先将数据沿最短路径传输到缓冲区内,然后在基站移动的过程中进行数据收集.证明了缓冲区位置设置在距离中心2^(1/2)R/2时数据传输总能耗最少,并证明了存在一个缓冲区位置使得最大节点负载最小化,进而确定了同时考虑到能源消耗和负载平衡的基站移动区域.理论分析和实验结果表明,提出的数据收集模式在很大程度上降低了网络节点的最大负载,并且减少了数据传输能源中的消耗,分别比固定基站和同类工作的最大网络负载降低95%和80%以上. Data gathering is the basic function of the sensor networks. However, the existing gathering schemes are almost based on the architecture with a static base station which results in the quick death of nodes around the base station. The reason is that the sensor nodes located near a base station have to relay data for a large part of the network and thus deplete their batteries very quickly. This paper discusses how to use the mobile base station for data gathering with load-balancing. A data gathering scheme MADG (movement-assisted data gathering), which makes use of the mobile base station for data collection, is presented. In this scheme, the base station moves in a stationary annularity area exploited for data buffering. The gathered data,are firstly forwarded into the buffering area and then collected by the mobile base station. It is theoretically proved that the location /R/2 away from the center is the optimal location for minimizing the energy consumption for transmitting data and that there exists a location which can make the maximal node load minimize. This paper then considers the optimum location jointing the energy consumption and load-balancing based on above analyses. Compared with the static base station scheme and the existing mobile base station scheme, MADG reduces the load by over 95% and 80%, respectively.
出处 《软件学报》 EI CSCD 北大核心 2007年第9期2235-2244,共10页 Journal of Software
基金 Supported by the Key Program of the National Natural Science Foundation of China under Grant No.60533110(国家自然科学基金重点项目) the Harbin Institute of Technology Foundation of China under Grant No.HIT 2002.74(哈尔滨工业大学校基金)
关键词 传感器网络 移动基站 数据收集 负载平衡 网络生命周期 sensor network mobile base station data gathering load-balancing network lifetime
  • 相关文献

参考文献2

二级参考文献57

  • 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.
  • 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.
  • 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.
  • 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.
  • 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
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

共引文献681

同被引文献320

引证文献35

二级引证文献156

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