期刊文献+

An Energy-Efficient Routing and Self-Organization Algorithm in Wireless Sensor Networks 被引量:7

An Energy-Efficient Routing and Self-Organization Algorithm in Wireless Sensor Networks
原文传递
导出
摘要 Energy efficiency is the most important goal in wireless sensor network routing and self-organization algorithms. To achieve this goal, our paper first presents a distributed energy-aware routing algorithm Nearest to Theoretical Point(NTP). Then it applies NTP to self-organization of sensor networks to form an energy-efficient self-organization algorithm Shortest Path Tree-NTP(SPT-NTP). Theoretic analysis and simulation show that NTP and SPT-NTP can ensure less network energy consumption than other related algorithms. Energy efficiency is the most important goal in wireless sensor network routing and self-organization algorithms. To achieve this goal, our paper first presents a distributed energy-aware routing algorithm Nearest to Theoretical Point(NTP). Then it applies NTP to self-organization of sensor networks to form an energy-efficient self-organization algorithm Shortest Path Tree-NTP(SPT-NTP). Theoretic analysis and simulation show that NTP and SPT-NTP can ensure less network energy consumption than other related algorithms.
出处 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2005年第2期87-93,共7页 中国邮电高校学报(英文版)
基金 This work is supported by National Nature Science Foundation of China (90204003) , and the China Post-doctorial Science Foundation Project(2003034111) .
关键词 wireless sensor networks routing algorithm wireless sensor networks routing algorithm
  • 相关文献

参考文献5

二级参考文献69

  • 1[1]SOHRABI K, GAO J, AILAWA DHI V, et al. A self-organizing sensor network[A]. Proceedings of the 37th Allerton Conference on Communication, Control, and Computing[C]. 1999.
  • 2[2]QI H, KURUGANTI P T. The development of localized algorithms in wireless sensor networks[J]. Sensors Journal, 2002, 2(7): 270-285.
  • 3[3]AKYILDIZ I F, SU W, SANKARASUB R Y, et al. Wireless sensor networks: a survey[J]. Computer Networks, 2002, 38(4): 393-422.
  • 4[4]CERPA A, ELSON J, ESTRIN D, et al. Habitat monitoring: application driver for wireless communications technology[J]. Computer Communication Review, 2001, Suppissue:20-41.
  • 5[5]WANG Han-biao, ELSON J, GIROD L, et al. Target classification and localization in habitat monitoring[A]. Proceedings of IEEE 2003 International Conference on Acoustics, Speech, and Signal Processing, Vol 4[C]. Piscataway (NJ): IEEE,2003.844-847.
  • 6[6]POTTIE G J, KAISER W J. Embedding the internet: wireless integrated network sensors[J]. Communications of the ACM, 2000, 43(5): 51-58.
  • 7[7]ZHANG Yong-guang, LEE Wenke. Intrusion detection in wireless ad-hoc networks[A]. Proceedings of the Sixth ACM Annual International Conference on Mobile Computing and Networking[C]. New York: ACM, 2000. 275-283.
  • 8[8]ZHAO F, SHIN J, REICH J. Information-driven dynamic sensor collaboration for tracking applications[J]. IEEE Signal Processing Magazine, 2002, 19(2): 61-72.
  • 9[9]CHU M, HAUSSECKER H, ZHAO F. Scalable information-driven sensor querying and routing for ad hoc heterogeneous sensor networks[J]. International Journal of High Performance Computing Applications, 2002, 16(3): 90-110.
  • 10[10]BROOKS R, GRIFFIN C, FRIEDLANDER D S. Self-Organized distributed sensor network entity tracking[J]. International Journal of High Performance Computer Applications, special issue on Sensor Networks, 2002, 16(3).

共引文献1734

同被引文献18

引证文献7

二级引证文献30

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