Coverage strategy for wireless sensor networks based on virtual force directed swarm intelligence optimization

GUAN Zhi-yan; GENG Yan

doi:10.13873/J.1000-9787(2015)01-0040-03

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Coverage strategy for wireless sensor networks based on virtual force directed swarm intelligence optimization

更新时间：2025-09-11

- Coverage strategy for wireless sensor networks based on virtual force directed swarm intelligence optimization
- Vol. 34, Issue 1, Pages: 40-42+46(2015)
- 作者机构：
  
  山西大学商务学院信息学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2015)01-0040-03
  CLC： TN929.5;TP212.9
- Published：2015
- 稿件说明：
移动端阅览
[1]关志艳,耿岩.虚拟力导向群聚智能优化的无线传感器网络覆盖策略[J].传感器与微系统,2015,34(01):40-42+46.

GUAN Zhi-yan, GENG Yan. Coverage strategy for wireless sensor networks based on virtual force directed swarm intelligence optimization[J]. 2015, 34(1): 40-42+46.
[1]关志艳,耿岩.虚拟力导向群聚智能优化的无线传感器网络覆盖策略[J].传感器与微系统,2015,34(01):40-42+46. DOI： 10.13873/J.1000-9787(2015)01-0040-03.

GUAN Zhi-yan, GENG Yan. Coverage strategy for wireless sensor networks based on virtual force directed swarm intelligence optimization[J]. 2015, 34(1): 40-42+46. DOI： 10.13873/J.1000-9787(2015)01-0040-03.

摘要

针对在由固定骨干节点和移动传感器节点组成的无线传感器网络（WSNs）中

固定节点作用在移动节点的虚拟力

造成对移动节点位置移动的阻碍

在群聚智能优化思想的基础上

提出一种解决异构移动传感器网络的覆盖策略。该策略通过调整虚拟力距离阈值参数来改善固定节点作用在移动节点上的虚拟力;用虚拟力影响群聚智能算法中粒子速度和距离的进化

以节点有效覆盖率为适应值

指导微粒进化。仿真实验表明:虚拟力导向群聚智能策略能有效实现异构无线传感器网络节点布局优化

提高网络覆盖率

且收敛速度快。

Abstract

In wireless sensor networks（ WSNs）

it consists of fixed nodes and mobile sensor nodes

virtual force which is acted on mobile node by fixed nodes result in position moving obstacles of mobile nodes. A coverage algorithm for solving heterogeneous mobile sensor networks is proposed based on swarm intelligence optimization idea. The coverage algorithm adjusts virtual force distance threshold parameters to improve virtual force of fixed nodes acted on mobile nodes; virtual force influences particle speed and evolutionary of distance for swarm intelligence optimization algorithm. Take effective coverage of node as adaptation values to guide particle evolution. Simulation results show that virtual force directed swarm intelligence optimization strategy can effectively realize layout optimization heterogeneous WSNs node

improves network coverage and convergence speed is fast.

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Keywords

references

虚拟力导向差分算法的异构移动传感网络覆盖策略 [J]. 李明,石为人. 仪器仪表学报 . 2011(05)

无线传感器网络虚拟力覆盖控制及节能优化研究 [J]. 田一鸣,陆阳,魏臻,吴其林. 电子测量与仪器学报 . 2009(11)

基于虚拟力的异构节点网络覆盖增强算法 [J]. 冯秀芳,关志艳,全欣娜. 计算机工程 . 2009(05)

无线传感器网络部署及其覆盖问题研究 [J]. 刘丽萍,王智,孙优贤. 电子与信息学报 . 2006(09)

Sensor deployment and target localization in distributed sensor networks [J] . Yi Zou,Krishnendu Chakrabarty. ACM Transactions on Embedded Computing Systems （TECS） . 2004 (1)

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