吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (6): 1771-1777.doi: 10.13229/j.cnki.jdxbgxb201406036

• • 上一篇    下一篇

面向服务的无线传感器网络广义生存期评价模型

刘衍珩1, 陆莹琦1, 孙大洋2, 王爱民1, 宁宇3   

  1. 1.吉林大学 计算机科学与技术学院,长春 130012;
    2.吉林大学 通信工程学院,长春 130012;
    3.北京起重运输机械设计研究院, 北京 100007
  • 收稿日期:2013-08-17 出版日期:2014-11-01 发布日期:2014-11-01
  • 通讯作者: 孙大洋(1979-),男,讲师,博士.研究方向:无线传感网与物联网.E-mail:www.sunday@gmail.com
  • 作者简介:刘衍珩(1958-),男,教授,博士生导师.研究方向:无线传感网与物联网.E-mail:
  • 基金资助:
    国家自然科学基金面上项目(61073164, 61373123)

Service-oriented generalized WSN lifetime assessment model

LIU Yan-heng1, LU Ying-qi1, SUN Da-yang2, WANG Ai-min1, NING Yu3   

  1. 1.College of Computer Science and Technology, Jilin University, Changchun, 130012,China;
    2.College of Communication Engineering, Jilin University, Changchun 130012, China;
    3.Beijing Lifting Transportation Machinery Design and Research Institute, Beijing 100007, China
  • Received:2013-08-17 Online:2014-11-01 Published:2014-11-01

摘要: 总结了影响无线传感器网络(WSN)生存期的各个因素,建立了面向服务的WSN生命周期的四层模型——三明治模型,同时根据该模型提出了一种广义生存期判断方法。该方法通过运用面向服务方式选定的生存期评价指标来量化生存期,能够有效地适用于目前所有WSN。与现有生存期评价模型相比,广义生存期评价模型更加灵活、实用、准确,能够充分面向服务。

关键词: 计算机应用, 无线传感器网络, 面向服务, 三明治模型, 广义生存期

Abstract: In this paper, first, the influencing factors of Wireless Sensor Network (WSN) lifetime are summarized. Then, a 4-layer sandwich model for service-oriented WSN lifetime assessment is established. Finally, a generalized lifetime assessment method was proposed. The novelty brought by the sandwich model is that it defines a general lifetime decision criterion, which is suitable for the diverse WSN applications; and it can be used to incorporate their scenario specific requirements into quantitative criteria of lifetime assessment. Compared with existing lifetime assessment model, the generalized assessment method based on 4-layer sandwich model is more flexible, reliable and service-oriented.

Key words: computer application, wireless sensor networks(WSN), service-oriented, sandwich model, generalized lifetime

中图分类号: 

  • TP393
[1] Soni S, Narottam C. Energy efficient multi-level clustering to prolong the lifetime of wireless sensor networks[J]. Journal of Computing, 2010,2(5):158-165.
[2] Yu M, Malvankar A, Foo S Y. An energy efficient path availability routing algorithm for mobile ad hoc sensor networks[C]∥IEEE International Conference on Communications, Istanbul, Turkey, 2006: 1885-1890.
[3] Blough D M, Santi P. Investigating upper bounds on network lifetime extension for cell-based energy conservation techniques in stationary ad hoc networks[C]∥Proceedings of the 8th Annual International Conference on Mobile Computing and Networking, New York, 2002:183-192.
[4] Champ J, Saad C, Baert A E. Lifetime in wireless sensor networks[C]∥IEEE International Conference on Complex, Intelligent and Software Intensive Systems, 2009: 293-298.
[5] Ozgovde A, Ersoy C. WCOT: a utility based lifetime metric for wireless sensor networks[J]. Computer Communications, 2009, 32(2):409-418.
[6] Xu Ning, Huang Ai-ping, Hou Ting-wei, et al. Coverage and connectivity guaranteed topology control algorithm for cluster-based wireless sensor networks[J]. Wireless Communications & Mobile Computing, 2012,12(1): 23-32.
[7] Pak W, Choi Jin G, Bahk S. Duty cycle allocation to maximize network lifetime of wireless sensor networks with delay constraints[J]. Wireless Communications & Mobile Computing, 2014,14(6):613-628.
[8] Halatchev M, Gruenwald L. Estimating missing values in related sensor data streams[C]∥Proceedings of the 11th International Conference on Management of Data, India, 2005: 83-94.
[9] Jiang N, Gruenwald L. Estimating missing data in data streams[C]∥Proceedings of the 12th International Conference on Database Systems for Advanced Applications, Bangkok, Thailand, 2007:981-987.
[10] 潘立强,李建中,骆吉洲. 传感器网络中一种基于时-空相关性的缺失值估计算法[J]. 计算机学报,2010,33(1): 1-11. Pan Li-qiang, Li Jian-zhong, Luo Ji-zhou. A temporal and spatial correlation based missing values imputation algorithm in wireless sensor networks[J]. Chinese Journal of Computers, 2010, 33(1): 1-11.
[11] 官健,孙大洋,王爱民,等. 无线传感器网络中基于广播坐标的静态链簇路由算法[J]. 吉林大学学报:工学版,2012,42(2):412-417. Guan Jian, Sun Da-yang, Wang Ai-min, et al. Static chain-cluster routing algorithm based on transmitting coordinate for WSN[J]. Journal of Jilin University (Engineering and Technology Edition),2012,42(2): 412-417.
[12] 官健,刘衍珩,陆莹琦,等. 无线传感器网络中一种基于覆盖的环簇路由算法[J]. 吉林大学学报:工学版,2013,43(1):158-164. Guan Jian, Liu Yan-heng, Lu Ying-qi, et al. Concentric ring cluster routing algorithm based on coverage for WSN[J]. Journal of Jilin University (Engineering and Technology Edition),2013,43(1):158-164.
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