A node scheduling strategy-based effective energy coverage algorithm

Sun Zeyu; Zhao Guozeng

doi:10.13756/j.gtxyj.2012.06.016

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A node scheduling strategy-based effective energy coverage algorithm

- A node scheduling strategy-based effective energy coverage algorithm
- Study on Optical communication Issue 6, Pages: 52-55(2012)
- 作者机构：
  
  洛阳理工学院计算机与信息工程系
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2012.06.016
  CLC： TN929.5;TP212.9
- Published：2012，
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[1]孙泽宇,赵国增.基于节点调度策略的能量有效覆盖算法[J].光通信研究,2012(06):52-55.

Sun Zeyu, Zhao Guozeng. A node scheduling strategy-based effective energy coverage algorithm. [J]. (6):52-55(2012)
[1]孙泽宇,赵国增.基于节点调度策略的能量有效覆盖算法[J].光通信研究,2012(06):52-55. DOI： 10.13756/j.gtxyj.2012.06.016.

Sun Zeyu, Zhao Guozeng. A node scheduling strategy-based effective energy coverage algorithm. [J]. (6):52-55(2012) DOI： 10.13756/j.gtxyj.2012.06.016.

摘要

对监测区域进行有效地覆盖以及最大限度延长网络生存周期是无线传感器网络研究的重点课题之一。为此

提出了一种基于节点调度策略的能量有效覆盖算法

该算法通过泊松分布模型构造节点概率密度公式

依照节点密度公式对所关注的目标进行有效覆盖;另一方面

通过节点自身状态调度机制更新以及对邻居节点进行匹配调度的动态转换

使得传感器节点剩余能量与节点消耗能量趋于平衡

从而达到延长网络生存周期。仿真实验结果表明

该算法可实现对监测区域的有效覆盖

同时优化了网络资源的配置

延长了网络生存周期。

Abstract

The effective coverage of supervised zones and maximized extension of network life cycles are key topics in the research on wireless sensor networks.For this purpose

this paper presents a node scheduling strategy-based effective energy coverage algorithm.On the one hand

this algorithm effectively covers the chosen targets in accordance with the node probability density formula worked out on the Poisson distribution model.On the other hand

it enables the residual energy of the sensor nodes to be in balance with the node consumption energy through the node state scheduling mechanism updating and the dynamic conversion of the neighboring node matched scheduling so as to extend the network life cycle.The simulation results show that this algorithm can implement the effective coverage of the supervised zones

optimize the network resource allocation and extend the network life cycle.

关键词

无线传感器网络调度策略生存周期覆盖能量节点

Keywords

wireless sensor networkscheduling strategylife cyclecoveragepowernode

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Related Institution

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