基于梯度的无线传感器网络能耗分析及能量空洞避免机制

刘韬

doi:10.3724/SP.J.1004.2012.01353

基于梯度的无线传感器网络能耗分析及能量空洞避免机制

doi: 10.3724/SP.J.1004.2012.01353

刘韬

1.
西南民族大学计算机科学与技术学院成都 610041

详细信息

通讯作者:
刘韬

计量
- 文章访问数: 1742
- HTML全文浏览量: 98
- PDF下载量: 712
- 被引次数: 0
出版历程
- 收稿日期: 2011-10-12
- 修回日期: 2012-02-20
- 刊出日期: 2012-08-20

Energy Consumption Analysis and Energy Holes Avoidance for Gradient Based Routing in Wireless Sensor Networks

LIU Tao

1.
School of Computer Science and Technology, Southwest University for Nationality, Chengdu 610041

摘要

摘要: 在基于"梯度汇聚"模型的无线传感器网络 (Wireless sensor networks, WSNs)中, 因节点间能量消耗不平衡而引发的能量空洞一直是影响网络生存周期的重要原因. 本文分别分析了无通信干扰的自由空间环境和瑞利衰落环境下网络中节点的能量消耗,提出了一种基于节点能量非均匀分布的能量空洞避免机制,即根据节点的能耗水平为每个节点储备不同的初始能量.并结合通信干扰、休眠机制等因素,研究了基于"梯度汇聚"模型的无线传感器网络生存周期的上界和下界. 模拟结果表明,该机制提高了能量的利用效率,延长了网络的生存周期.
- 无线传感器网络 /
- 能量空洞 /
- 能量高效 /
- 梯度模型
Abstract: In wireless sensor networks (WSNs) using gradient based routing, the uneven energy dissipation among nodes can lead to energy holes and significantly reduces the lifetime of network. In this paper, we analyze the energy consumption of nodes on gradient sinking model in both free space and Rayleigh fading environment, and propose a scheme to avoid energy holes with nonuniform energy distribution, that is, a node is equipped with initial energy according to its energy consumption. Then, we investigate the upper and lower bounds of network lifetime in a WSN using gradient based routing by taking into consideration various factors such as communication interference, sleeping mechanism, etc. Simulation results indicate that our scheme can increase energy efficiency and prolong network lifetime.
- Wireless sensor network (WSN) /
- energy hole /
- energy efficiency /
- gradient model

HTML全文

参考文献(1)

[1]

Sun Li-Min, Li Jian-Zhong, Chen Yu, Zhu Hong-Song. Wireless Sensor Network. Beijing: Tsinghua University Press, 2005 (孙利民, 李建中, 陈渝, 朱红松. 无线传感器网络. 北京: 清华大学出版社, 2005)[2] Akyildiz I F, Su W, Sankarasubramaniam Y, Cayirci E. Wireless sensor networks: a survey. Computer Networks, 2002, 38(4): 393-422[3] Kang Yi-Mei, Li Zhi-Jun, Hu Jiang, Dong Ji-Chang. A low-power hierarchical wireless sensor network topology control algorithm. Acta Automatica Sinica, 2010, 36(4): 543-549 (康一梅, 李志军, 胡江, 董吉昌. 一种低能耗层次型无线传感器网络拓扑控制算法. 自动化学报, 2010, 36(4): 543-549)[4] Hong Zhen, Yu Li, Zhang Gui-Jun. An adaptive distributed clustering routing protocol for wireless sensor networks. Acta Automatica Sinica, 2011, 37(10): 1197-1205(洪榛, 俞立, 张贵军. 无线传感器网络自适应分布式聚簇路由协议. 自动化学报, 2011, 37(10): 1197-1205)[5] Han K H, Ko Y B, Kim J H. A novel gradient approach for efficient data dissemination in wireless sensor networks. Vehicular Technology Conference, 2004, 4: 2979-2983[6] Li J, Mohapatra P. An analytical model for the energy hole problem in many-to-one sensor networks. In: Proceedings of the 62nd IEEE Vehicular Technology Conference (VTC-Fall 05). Dallas, USA: IEEE, 2005. 2721-2725[7] Li J, Mohapatra P. Analytical modeling and mitigation techniques for the energy hole problem in sensor networks. Pervasive and Mobile Computing, 2007, 3(3): 233-254[8] Lian J, Naik K, Agnew G B. Data capacity improvement of wireless sensor networks using non-uniform sensor distribution. International Journal of Distributed Sensor Networks, 2006, 2(2): 121-145[9] Bi Y Z, Li N, Sun L M. DAR: an energy-balanced data-gathering scheme for wireless sensor networks. Computer Communications, 2007, 30(14-15): 2812-2825[10] Wu Xiao-Bing, Chen Gui-Hai. The energy hole problem of nonuniform node distribution in wireless sensor networks. Chinese Journal of Computers, 2008, 31(2): 253-261 (吴小兵, 陈贵海. 无线传感器网络中节点非均匀分布的能量空洞问题. 计算机学报, 2008, 31(2): 253-261)[11] Liu A F, Wu X Y, Chen Z G, Gui W H. Research on the energy hole problem based on unequal cluster-radius for wireless sensor networks. Computer Communications, 2010, 33(3): 302-321[12] Zheng J, Wang P, Li C. Distributed data aggregation using slepian-wolf coding in cluster-based wireless sensor networks. IEEE Transactions on Vehicular Technology, 2010, 59(5): 2564-2574[13] Zhu Hong-Song, Sun Li-Min, Xu Yong-Jun, Li Xiao-Wei. Mechanism and analysis on fine-grain gradient sinking model in wireless sensor networks. Journal of Software, 2007, 18(5): 1138-1151 (朱红松, 孙利民, 徐勇军, 李晓维. 基于精细化梯度的无线传感器网络汇聚机制及分析. 软件学报, 2007, 18(5): 1138-1151)[14] Heinzelman W B, Chandrakasan A P, Balakrishnan H. An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications, 2002, 1(4): 660-670

施引文献

资源附件(0)

访问统计