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计算机工程 ›› 2020, Vol. 46 ›› Issue (7): 165-172. doi: 10.19678/j.issn.1000-3428.0054771

• 移动互联与通信技术 • 上一篇    下一篇

一种适用于带状区域的WSN节点覆盖优化方法

郝占军1,2, 侯姣姣1, 党小超1,2, 曲南江1   

  1. 1. 西北师范大学 计算机科学与工程学院, 兰州 730070;
    2. 甘肃省物联网工程研究中心, 兰州 730070
  • 收稿日期:2019-04-29 修回日期:2019-06-16 发布日期:2019-06-30
  • 作者简介:郝占军(1979-),男,副教授、硕士,主研方向为位置服务、无线传感器网络;侯姣姣,硕士研究生;党小超,教授;曲南江,硕士研究生。
  • 基金资助:
    国家自然科学基金(61662070,61762079);甘肃省科技重点研发项目(17YF1GA015)。

A Node Coverage Optimization Method for Strip Area in WSN

HAO Zhanjun1,2, HOU Jiaojiao1, DANG Xiaochao1,2, QU Nanjiang1   

  1. 1. College of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China;
    2. Gansu Province Internet of Things Engineering Research Center, Lanzhou 730070, China
  • Received:2019-04-29 Revised:2019-06-16 Published:2019-06-30

摘要: 无线传感器网络(WSN)在带状区域的部署过程中,簇头节点所转发的数据量与其离基站的距离成反比,容易导致网络负载不均衡。为解决该问题,提出一种优化的WSN节点覆盖方法。建立传感器节点与簇头节点能量模型,以菱形分区的方式对带状区域进行等距分簇并部署传感器节点,实现带状区域中无线网络的有效覆盖。在此基础上,根据簇头节点与基站的距离优化各簇头节点数目,并采用簇头节点非均匀部署方式均衡带状区域网络能耗。实验结果表明,与EECS和EDNU方法相比,该优化方法可以提高网络利用率,延长网络生命周期。

关键词: 带状区域, 无线传感器网络, 菱形分区, 等距分簇, 生命周期

Abstract: In the process of deploying a strip area in a Wireless Sensor Network(WSN),the amount of data forwarded by the cluster head nodes is inversely proportional to its distance from the base station,which tends to cause uneven network load.Therefore,this paper proposes an optimized node coverage method in WSN.The method establishes an energy consumption model for cluster head and sensor nodes.Then the sensor nodes are deployed and the strip areas are equidistantly clustered in the shape of diamond to implement effective coverage of WSN in strip area.Then according to the distance from the cluster head nodes to the base station,the number of cluster head nodes in each cluster is optimized,and the non-uniform deployment of cluster head nodes is adopted to balance network energy consumption in the strip area.Experimental results show that the proposed optimization method can improve the network utilization and extend the life cycle of network compared with the EECS and EDNU method.

Key words: strip area, Wireless Sensor Network(WSN), diamond partition, equidistant clustering, life cycle

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