东北大学学报:自然科学版 ›› 2018, Vol. 39 ›› Issue (5): 609-613.DOI: 10.12068/j.issn.1005-3026.2018.05.001

• 信息与控制 •    下一篇

一种面向三维感知的多媒体传感器网络覆盖增强算法

庄曜铭1,2, 吴成东1,2, 张云洲1,2   

  1. (1. 东北大学 信息科学与工程学院, 辽宁 沈阳110819; 2. 东北大学 机器人科学与工程学院, 辽宁 沈阳110819)
  • 收稿日期:2016-12-19 修回日期:2016-12-19 出版日期:2018-05-15 发布日期:2018-05-25
  • 通讯作者: 庄曜铭
  • 作者简介:庄曜铭(1990-),男,辽宁沈阳人,东北大学博士研究生; 吴成东(1960-),男,辽宁大连人,东北大学教授,博士生导师; 张云洲(1974-),男, 河南渑池人,东北大学教授,博士生导师.
  • 基金资助:
    国家留学基金委资助项目; 国家自然科学基金资助项目(U1713216); 国家机器人重点专项(2017YBF1300900); 沈阳市科研基金资助项目(17-87-0-00).

Multimedia Sensor Networks Coverage Enhancing Algorithm Based on 3D Perception

ZHUANG Yao-ming1,2, WU Cheng-dong1,2, ZHANG Yun-zhou1,2   

  1. 1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China; 2. School of Robot Science and Engineering, Northeastern University, Shenyang 110819, China.
  • Received:2016-12-19 Revised:2016-12-19 Online:2018-05-15 Published:2018-05-25
  • Contact: ZHUANG Yao-ming
  • About author:-
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摘要: 现存的多媒体传感器网络优化算法,都存在着容易陷入局部最优解的问题.布谷鸟算法利用长距离的搜索可以有效地跳出局部最优解,基于多媒体传感器网络三维感知模型,提出了改进布谷鸟搜索的覆盖增强算法,该算法通过引入精英机制、多维度优化和学习反馈策略来优化多媒体传感器节点的旋转角度以降低覆盖重叠,优化网络覆盖,这是首次利用改进布谷鸟搜索算法来优化网络覆盖.最后,利用仿真实验证明了该算法可以快速有效地优化网络覆盖.

关键词: 多媒体传感器网络, 三维感知模型, 覆盖优化, 改进布谷鸟搜索, 莱维飞行

Abstract: Existing optimization algorithms of wireless multimedia sensor networks (WMSMs) are easy to fall into local optimal solutions. The cuckoo search algorithm, by using a long distance search, can jump out of local optima effectively. This algorithm is based on the 3D perception model. The ratio of coverage is improved by introducing elite mechanism, multi-dimensional optimization and learning-feedback strategy to optimize the angle of rotation and reduce overlap. The improved cuckoo search made the first attempt to optimize the network coverage in MSNs. Finally, the simulation results show that the ratio of coverage is improved by the proposed algorithm.

Key words: multimedia sensor networks(MSNs), 3D perception model, coverage optimization, improved cuckoo search, Levy flight

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