计算机科学 ›› 2019, Vol. 46 ›› Issue (5): 67-72.doi: 10.11896/j.issn.1002-137X.2019.05.010

• 网络与通信 • 上一篇    下一篇

基于不规则划分的K级区域覆盖增强算法

蒋一波, 何成龙, 梅佳东, 汪念华   

  1. (浙江工业大学计算机科学与技术学院 杭州310023)
  • 收稿日期:2018-03-19 修回日期:2018-07-03 发布日期:2019-05-15
  • 作者简介:蒋一波(1982-),男,博士,副教授,主要研究方向为计算机网络控制与管理、无线传感网络监控系统,E-mail:jyb106@zjut.edu.cn(通信作者);何成龙(1994-),男,硕士生,主要研究方向为无线传感器网络;梅佳东(1992-),男,硕士生,主要研究方向为无线传感器网络;汪念华(1991-),男,硕士生,主要研究方向为无线传感器网络。
  • 基金资助:
    国家自然科学基金项目(61402415)资助

K-level Region Coverage Enhancement Algorithm Based on Irregular Division

JIANG Yi-bo, HE Cheng-long, MEI Jia-dong, WANG Nian-hua   

  1. (College of Computer Science and Technology,Zhejiang University of Technology,Hangzhou 310023,China)
  • Received:2018-03-19 Revised:2018-07-03 Published:2019-05-15

摘要: 在深入分析和比较现有的减少传感器节点启动数量的K级区域覆盖算法的基础上,利用节点感应区域边界来划分整个监控区域,引入扫描法来快速判断节点感应区域内的基本分割单元集合,设计了节点权重函数用于判别启动的先后顺序,基于环境变量和随机分布策略等因素选择一个节点优先启动,随后该节点带动周围邻居节点启动,从而实现整个监控区域的K级覆盖。在此分析的基础上,进一步提出了不规则划分区域覆盖增强算法。一系列仿真实验结果表明:该算法可以减少传感器节点的启动数量,实现监控区域的K级覆盖。

关键词: K级覆盖, 传感器, 基本分割单元, 区域划分

Abstract: Based on the depth analysis and comparison of the existing K-level area coverage algorithm reducing the star-ting number of the sensors’ nodes,the entire monitoring region was divided through using the node-sensing region boundary.The scanning method was introduced to quickly judge the basic segmentation cell collection within the node-sensing zone,and the node weight function was designed to judge the sequence of enablement.Based on the environment variables and random distribution strategy and other factors,a node is selected to start firstly.Then it drives the neighboring nodes to start so as to achieve the K-level coverage over the whole monitoring area.On the basis of this analysis,this paper further proposed an irregular divisionarea coverage enhancement algorithm(IDACEA).A series of simulated experiment results show that this algorithm can reduce the number of sensor activations and achieve K-level coverage of monitoring area.

Key words: Area division, Basic segmentation cell, K-level coverage, Sensor

中图分类号: 

  • TP393
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