Directed Diffusion Based on Clustering and Inquiry for Wireless Sensor Networks

被引:0
|
作者
Yu, Jielei [1 ]
Zhang, Huazhong [1 ]
机构
[1] Shandong Univ, Sch Comp Sci & Technol, Jinan, Peoples R China
关键词
directed diffusion; cluster; inquiry; wireless sensor networks;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In directed diffusion (DD) routing protocol, the establishment of routing depends on the plane flooding of interest, which costs too much time and energy and could not be applied to large-scale network. In order to solve these problems, directed diffusion based on clustering and inquiry (DDBCI) is proposed in this paper. DDBCI clusters all nodes into clusters, and each cluster head keeps a member information table to record the information of the nodes in the cluster. When a cluster head node receives the interest message, it can find out whether the target area of the interest message is in the cluster via inquiring its member information table, and then decides whether or not to forward the interest message into the cluster. This paper presents DDBCI and its implementation algorithm in detail. Furthermore, the simulation results of this routing protocol shows that DDBCI protocol reduces network energy consumption, effectively prolongs the survival time of the wireless sensor network, and it can still maintain good performance as the network scale increases.
引用
收藏
页码:291 / 294
页数:4
相关论文
共 50 条
  • [31] Improvement of data transfer reliability with directed diffusion in wireless sensor networks
    Choi, Jae-Won
    Lee, Kwang-Hui
    PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED COMPUTING AND NETWORKS, 2007, : 45 - +
  • [32] Energy neutral directed diffusion for energy harvesting wireless sensor networks
    Peng, S.
    Low, C. P.
    COMPUTER COMMUNICATIONS, 2015, 63 : 40 - 52
  • [33] A detection scheme of aggregation point for directed diffusion in wireless sensor networks
    Son, J
    Pak, J
    Han, K
    AD-HOC, MOBILE, AND WIRELESS NETWORKS, PROCEEDINGS, 2005, 3738 : 311 - 319
  • [34] An aggregation point selection scheme for directed diffusion in wireless sensor networks
    Son, J
    Lee, I
    Cho, K
    Jung, I
    Lee, H
    Han, KJ
    ICWN '05: PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON WIRELESS NETWORKS, 2005, : 468 - 472
  • [35] Energy and Storage Efficient Directed-Diffusion for Wireless Sensor Networks
    Liu, Jiayi
    Li, Yun
    Chen, Qianbin
    Kuang, Yujun
    Hu, Li
    Kuang, Yujun
    Long, Keping
    2007 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-15, 2007, : 2460 - +
  • [36] Multi-agent system for directed diffusion in Wireless Sensor Networks
    Malik, Haroon
    Shakshuki, Elhadi
    Dewolf, Travis
    Denko, Mieso K.
    21ST INTERNATIONAL CONFERENCE ON ADVANCED NETWORKING AND APPLICATIONS WORKSHOPS/SYMPOSIA, VOL 2, PROCEEDINGS, 2007, : 635 - +
  • [37] SWARM INTELLIGENCE BASED CLUSTERING IN WIRELESS SENSOR NETWORKS
    Mehrjoo, Saeed
    Shanbehzadeh, Jamshid
    Sarrafzadeh, Abdolhossein
    IAENG TRANSACTIONS ON ENGINEERING TECHNOLOGIES, VOL 7, 2012, : 389 - 402
  • [38] Time delay based clustering in wireless sensor networks
    Zhong, Tao
    Wang, Sheng
    Xu, Shizhong
    Yu, Hongfang
    Xu, Du
    2007 IEEE WIRELESS COMMUNICATIONS & NETWORKING CONFERENCE, VOLS 1-9, 2007, : 3959 - 3963
  • [39] Fuzzy Based Dynamic Clustering in Wireless Sensor Networks
    Arikumar, K. S.
    Natarajan, V.
    2016 EIGHTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING (ICOAC), 2017, : 77 - 82
  • [40] A Clustering Algorithm of Wireless Sensor Networks Based on PSO
    Xu, Yubin
    Ji, Yun
    ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, PT I, 2011, 7002 : 187 - 194