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计算机工程 ›› 2019, Vol. 45 ›› Issue (2): 107-113. doi: 10.19678/j.issn.1000-3428.0049517

• 移动互联与通信技术 • 上一篇    下一篇

一种缓解能量空洞的数据聚合算法

马礼,杨天宇,马东超,傅颖勋   

  1. 北方工业大学 计算机学院,北京 100144
  • 收稿日期:2017-12-01 出版日期:2019-02-15 发布日期:2019-02-15
  • 作者简介:马礼(1968—),男,教授,主研方向为无线传感器网络、物联网;杨天宇,硕士研究生;马东超,副教授、博士; 傅颖勋,讲师、博士。
  • 基金资助:

    国家自然科学基金(6172023,61371143);北京市自然科学基金(4172019)。

A Data Aggregation Algorithm of Mitigating Energy Hole

MA Li,YANG Tianyu,MA Dongchao,FU Yingxun   

  1. Computer College,North China University of Technology,Beijing 100144,China
  • Received:2017-12-01 Online:2019-02-15 Published:2019-02-15

摘要:

针对影响无线传感器网络(WSN)生命周期的能量空洞(EH)问题,以实际测量的数据为依据,综合考虑在数据传输过程中最大传输单元的影响因素,提出一种解决能量空洞的数学模型。该模型通过数据聚合的方式使每个节点发送数据时以最大的分片数进行传送,采用节能的方式对WSN能耗进行优化,以减小EH的区域,使全网能耗最低。仿真实验结果表明,与EHMS方案相比,该模型能够最大程度地优化WSN的能量,缓解能量空洞的形成,延长无线传感器网络的生命周期。

关键词: 无线传感器网络, 能量空洞, 数据聚合, 最大传输单元, 生命周期

Abstract:

Aiming at the Energy Hole(EH) problem affecting the life cycle of Wireless Sensor Network(WSN),based on the measured data and considering the factors affecting the Maximum Transmission Unit(MTU) in the process of data transmission,a mathematical model to solve the energy hole is proposed.The model uses data aggregation to enable each node to transmit data with the largest number of fragments,and adopts energy saving way to optimize the energy consumption of WSN,to minimize the area of EH and make the entire network to minimum energy consumption.Simulation results show that compared with EHMS scheme,the model can optimizes the energy of WSN to the greatest extent,mitigates the formation of energy holes and improves the life cycle of wireless sensor networks.

Key words: Wireless Sensor Network(WSN), Energy Hole(EH), data aggregation, Maximum Transmission Unit(MTU), life cycle

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