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计算机工程

• 移动互联与通信技术 • 上一篇    下一篇

无线通信节点传输能量均衡优化算法

叶仕通 1,万智萍 2,倪伟传 2,刘少江 2,王凤 2   

  1. (1.广东工业大学 华立学院,广州 511325; 2.中山大学 新华学院,广州 510520)
  • 收稿日期:2016-08-01 出版日期:2017-10-15 发布日期:2017-10-15
  • 作者简介:叶仕通(1981—),男,讲师、硕士,主研方向为无线传感器网络、图形图像处理;万智萍,讲师、硕士;倪伟传,助理工程师;刘少江,助理研究员;王凤,讲师、硕士。
  • 基金资助:
    广东省青年创新人才自然科学类基金(2014KQNCX251,2014KQNCX253,2015KQNCX227)。

Transmission Energy Balance Optimization Algorithm for Wireless Communication Nodes

YE Shitong 1,WAN Zhiping 2,NI Weichuan 2,LIU Shaojiang 2,WANG Feng 2   

  1. (1.Huali College,Guangdong University of Technology,Guangzhou 511325,China;2.Xinhua College,Sun Yat-sen University,Guangzhou 510520,China)
  • Received:2016-08-01 Online:2017-10-15 Published:2017-10-15

摘要: 针对现有异构网络算法负载不均衡和网络寿命短的问题,提出一种基于能量均衡与动态调节的节点筛选算法。根据网络节点间的相邻性与链路结构特点计算节点的距离和能量,引入方向因子与能量调节因子对节点选择概率进行优化,实现网络节点的动态选择。在此基础上,利用节点的关联性选取目标路径,并通过建立节点筛选机制实时排除能量不足的节点,从而保证网络正常运行与能耗均衡。实验结果表明,该算法能有效延长网络寿命,具有较好的稳定性,并且在时间充裕的情况下具有较高的准确率与数据接收率。

关键词: 异构网络, 负载均衡, 网络寿命, 节点, 方向因子, 链路

Abstract: Existing heterogeneous network algorithms have the problems of load imbalance and short network lifetime of the network.Aiming at this problem,this paper proposes a node selection algorithm based on energy balance and dynamic adjustment.It calculates the distance and energy of nodes according to the adjacency and structural characteristics of the link between network nodes,then introduces direction factor and energy regulation factor to optimize the node selection probability,so as to implement dynamic network node selection.On this basis,it selects the target path according to the relevance of nodes and excludes the nodes of insufficient energy in real time through the establishment of a node selection mechanism,thus ensuring normal network operation and energy consumption balance.Experimental results show that the proposed algorithm can effectively prolong the network life time and has good stability.At the same time,it has higher accuracy and data receiving rate in the case of enough time.

Key words: heterogeneous network, load balance, network lifetime, node, direction factor, link

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