QoS route discovery method with implementation of best energy for wireless sensor networks

HU Li-li1; CHEN Xiang-dong1; ZHANG Chuan-wu2; WANG Yi3

doi:10.13873/j.1000-97872007.07.009

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QoS route discovery method with implementation of best energy for wireless sensor networks

更新时间：2025-09-11

- QoS route discovery method with implementation of best energy for wireless sensor networks
- Issue 7, Pages: 31-34+37(2007)
- 作者机构：
  
  1. 西南交通大学信息科学与技术学院
  2. 西南民族大学电气信息工程学院
  3. 西安交通大学电子与信息工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872007.07.009
  CLC： TN929.5;TP212.9
- Published：2007
- 稿件说明：
移动端阅览
[1]胡黎黎,陈向东,张传武,王毅.无线传感器网络能量最优的QoS路由发现方法[J].传感器与微系统,2007(07):31-34+37.

HU Li-li1, CHEN Xiang-dong1, ZHANG Chuan-wu2, et al. QoS route discovery method with implementation of best energy for wireless sensor networks[J]. 2007, (7): 31-34+37.
[1]胡黎黎,陈向东,张传武,王毅.无线传感器网络能量最优的QoS路由发现方法[J].传感器与微系统,2007(07):31-34+37. DOI： 10.13873/j.1000-97872007.07.009.

HU Li-li1, CHEN Xiang-dong1, ZHANG Chuan-wu2, et al. QoS route discovery method with implementation of best energy for wireless sensor networks[J]. 2007, (7): 31-34+37. DOI： 10.13873/j.1000-97872007.07.009.

摘要

针对无线传感器网络的动态网络环境和节点能源受限

且通常无法补充的能源特性等不利因素

提出了一种可以实现能量最优的QoS路由发现方法。该方法利用节点选择机制和节点邻居表来建立满足QoS带宽需求的可供选择的节点集合

从而减少路由发现过程中的所要监测的节点数量。所提方法还构建了无线传感器网络的能量评价模型和节点能耗权重模型

使用遗传算法从可供选择的节点集合中构建可实现能量最优的QoS路由

自适应的实现对节点调度

从而延长无线传感器网络的寿命。通过实验仿真与分析

给出了实现无线传感器网络能量最优的遗传算法控制参数的选择区间。实验结果显示:该方法对无线传感器网络具有更好的适应性

且能保证其有更长的寿命。

Abstract

In order to overcome the negative factors due to the natural characteristics of wireless sensor networks（WSNs）such as dynamic network topology

the node of the WSNs with limited energy

and the battery that can not be supplied

a new quality of service（QoS）route discovery method which can meet the requirement of QoS and has better network lifetime is presented.The method utilizes the node selection system and node’s neighbor table to construct the set of candidate node in which the node’s left bandwidth can meet the requirement of the mission.So the number of the node which is supposed to be detected will reduce.In order to maximize the WSNs’s life

the genetic algorithm（GA） utilizes the energy estimate model and node energy consumption weight model which are constructed to adaptive deal with the nodes’s scheduling problem in WSNs.The simulations and the analysis show the choosing interval of the controlling parameters proposed by the GA algorithm.The experiment results show the QoS route discovery method with the implementation of best energy for WSNs has better adaptability and longer lifetime.

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references

无线传感器网络QoS路由的研究与仿真 [J]. 杨少军,史浩山,陈敏. 传感技术学报 . 2005(03)

无线Ad Hoc网络支持QoS的研究进展与展望 [J]. 李云,赵为粮,隆克平,吴诗其. 软件学报 . 2004(12)

无线/移动网络中基于遗传算法的带宽适应方案 [J]. 姜爱全,叶晓国,吴家皋. 计算机研究与发展 . 2004(09)

传感器网络及其数据管理的概念、问题与进展 [J]. 李建中,李金宝,石胜飞. 软件学报 . 2003(10)

遗传算法及其应用[M]. 人民邮电出版社 , 陈国良等编著, 1996

Energy and QoS Aware Routing in Wireless Sensor Networks [J] . Kemal Akkaya,Mohamed Younis. Cluster Computing . 2005 (2)

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