• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学

• 论文 • 上一篇    下一篇

无线多媒体传感器网络能量均衡的多跳图像传输机制

陈显毅1,2,金志刚1,苏毅珊1   

  1. (1.天津大学电气自动化与信息工程学院,天津 300072;2.海南大学信息科学技术学院,海南 海口 570228)
  • 收稿日期:2016-02-04 修回日期:2016-05-03 出版日期:2017-11-25 发布日期:2017-11-25
  • 基金资助:

    国家自然科学基金(61363071,61571318);海南省重点研发资助项目(ZDYF2016153)

A novel multi-hop image transmission mechanism for
energy balance in wireless multimedia sensor networks

CHEN Xian-yi1,2,JIN Zhi-gang1 ,SU Yi-shan1   

  1. (1.School of Electrical and Information Engineering,Tianjin University,Tianjin 300072;
    2.College of Information Science & Technology,Hainan University,Haikou 570228,China)
  • Received:2016-02-04 Revised:2016-05-03 Online:2017-11-25 Published:2017-11-25

摘要:

针对由普通节点和图像节点组成的异构无线多媒体传感器网络,提出了基于图像节点邻域协作压缩的多跳图像传输机制MHIT。该机制在发送图像前,首先根据传输距离和路由跳数判断是否需要压缩图像,若压缩图像后再传输消耗更多能量,则直接发送图像;否则,图像节点将图像压缩任务分发给邻域内的普通节点协作完成,均衡了网络能量消耗,极大地缓解了图像节点的能耗压力。实验结果表明,MHIT有效解决了无线多媒体传感器网络因图像压缩而引发的能量空洞问题,明显延长了网络生存期,特别适合于大规模无线多媒体传感器网络远距离图像传输。

关键词: 无线多媒体传感器网络, 多跳图像传输, 能量消耗, 能量均衡, 网络生存期

Abstract:

We propose a multi-hop image transmission (MHIT) mechanism for the heterogeneous wireless multimedia sensor network (WMSN) composed of common nodes and image nodes, where the images are compressed by the nodes in the nodes’ neighborhood. According to the hop count and distance, the image node determines whether or not the image should be compressed before transmission. If it costs more energy to compress the image, the image will be sent directly. Otherwise, the task of image compression is distributed to the nodes in the neighborhood, which can balance the network energy consumption and help ease the energy burden on the image nodes. Experimental results show that the proposed mechanism can effectively solve the problem of energy hole caused by the image compression in the WMSN, and significantly prolong the network lifetime. So it is well suited for remote image transmission in large-scale WMSN.
 

Key words: wireless multimedia sensor network(WMSN), multi-hop image transmission(MHIT), energy consumption, energy balance, network lifetime