Adaptive Broadcasting Method Using Neighbor Type Information in Wireless Sensor Networks

被引:10
|
作者
Jeong, Hyocheol [2 ]
Kim, Jeonghyun [1 ]
Yoo, Younghwan [1 ]
机构
[1] Pusan Natl Univ, Dept Comp Engn, Pusan 609735, South Korea
[2] LG Elect, Home Appliances Dept, Chang Won 641711, South Korea
关键词
broadcast storm; flooding; wireless sensor network;
D O I
10.3390/s110605952
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Flooding is the simplest and most effective way to disseminate a packet to all nodes in a wireless sensor network (WSN). However, basic flooding makes all nodes transmit the packet at least once, resulting in the broadcast storm problem in a worst case, and in turn, network resources are severely wasted. Particularly, power is the most valuable resource of WSNs as nodes are powered by batteries, then the waste of energy by the basic flooding lessens the lifetime of WSNs. In order to solve the broadcast storm problem, this paper proposes a dynamic probabilistic flooding that utilizes the neighbor information like the numbers of child and sibling nodes. In general, the more sibling nodes there are, the higher is the probability that a broadcast packet may be sent by one of the sibling nodes. The packet is not retransmitted by itself, though. Meanwhile, if a node has many child nodes its retransmission probability should be high to achieve the high packet delivery ratio. Therefore, these two terms-the numbers of child and sibling nodes-are adopted in the proposed method in order to attain more reliable flooding. The proposed method also adopts the back-off delay scheme to avoid collisions between close neighbors. Simulation results prove that the proposed method outperforms previous flooding methods in respect of the number of duplicate packets and packet delivery ratio.
引用
收藏
页码:5952 / 5967
页数:16
相关论文
共 50 条
  • [21] On Heterogeneous Neighbor Discovery in Wireless Sensor Networks
    Chen, Lin
    Fan, Ruolin
    Bian, Kaigui
    Chen, Lin
    Gerla, Mario
    Wang, Tao
    Li, Xiaoming
    2015 IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (INFOCOM), 2015,
  • [22] Neighbor Collaboration Detection in Wireless Sensor Networks
    Tang Linjun
    Wang Hanxing
    2007 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-15, 2007, : 2671 - 2674
  • [23] Applications of information navigation method in wireless sensor networks
    Wei, Wei
    Zhang, Liang
    Guo, De-Ke
    Shen, Pei-Yi
    Tongxin Xuebao/Journal on Communications, 2012, 33 (SUPPL.2): : 146 - 152
  • [24] Self-Adaptive Neighbor Discovery in Wireless Sensor Networks with Sectored-Antennas
    Mir, Zeeshan Hameed
    Ko, Young-Bae
    COMPUTER STANDARDS & INTERFACES, 2020, 70 (70)
  • [25] Neighbor-based Adaptive Listening and Sleeping Scheme for Wireless Mesh Sensor Networks
    Fan Jing
    Hao JunFeng
    Li Jie
    Xie Jianbin
    MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION IV, PTS 1 AND 2, 2012, 128-129 : 641 - +
  • [26] A neighbor-information-based node-scheduling scheme in wireless sensor networks
    Chen Dan
    Zhao Erdun
    ICCSE'2006: Proceedings of the First International Conference on Computer Science & Education: ADVANCED COMPUTER TECHNOLOGY, NEW EDUCATION, 2006, : 737 - 741
  • [27] Practical Solution for Broadcasting in VANETs Using Neighbor Information
    Wu, Celimuge
    Ohzahata, Satoshi
    Kato, Toshihiko
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2013, E96B (11) : 2856 - 2864
  • [28] Broadcasting in sensor networks: The role of local information
    Subramanian, Sundar
    Shakkottai, Sanjay
    Arapostathis, Ari
    25TH IEEE INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS, VOLS 1-7, PROCEEDINGS IEEE INFOCOM 2006, 2006, : 985 - 996
  • [29] Broadcasting in Sensor Networks: The Role of Local Information
    Subramanian, Sundar
    Shakkottai, Sanjay
    Arapostathis, Ari
    IEEE-ACM TRANSACTIONS ON NETWORKING, 2008, 16 (05) : 1133 - 1146
  • [30] Localization in Wireless Sensor Networks Using Directionally Information
    Kumar, Sunil
    Ramaswami, Radhakrishnan
    Tomar, Kapil
    PROCEEDINGS OF THE 2013 3RD IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE (IACC), 2013, : 577 - 582