西安电子科技大学学报 ›› 2020, Vol. 47 ›› Issue (3): 113-120.doi: 10.19665/j.issn1001-2400.2020.03.016

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能量与路径约束的无线传感网络路由优化

黄影1,华雨晴2   

  1. 1.西安文理学院 信息工程学院,陕西 西安 710065
    2.西安电子科技大学 计算机科学与技术学院,陕西 西安 710071
  • 收稿日期:2019-10-09 出版日期:2020-06-20 发布日期:2020-06-19
  • 作者简介:黄影(1977—),女,工程师,E-mail: 244027323@qq.com
  • 基金资助:
    国家自然科学基金(61602358)

Routing optimization of the wireless sensor network with energy and path constraints

HUANG Ying1,HUA Yuqing2   

  1. 1. School of Electronic Engineering, Xi’an University, Xi’an 710065, China
    2. School of Computer Science and Technology, Xidian University, Xi’an 710071, China
  • Received:2019-10-09 Online:2020-06-20 Published:2020-06-19

摘要:

为了克服传统无线传感器网络路由算法频繁使用单一路径而导致的能量受限问题,提出一种能量与路径约束的无线传感网络路由优化算法。综合无线传感器网络的负载均衡性与能源有效性两个因素,引入飞行可行域的概念以实现数据高效传输,并添加能量因子与距离因子,进一步保证各网络节点之间具有均匀合理的能量分布, 从而满足无线传感器网络低功耗、高能效的功能需求。实验结果表明, 所提算法能够有效地提高网络负载均衡,避免部分节点能量过早枯竭造成的网络分割现象,可增加网络的寿命长度。

关键词: 果蝇算法, 路由优化, 无线传感器网络

Abstract:

An algorithm for routing optimization of an energy and path constrained wireless sensor network is proposed to solve the energy limitation problem which is caused by the frequent use of a single path by traditional wireless sensor network routing algorithms. By considering the load balancing and energy efficiency of wireless sensor networks, the concept of flight feasible domain is introduced to achieve efficient data transmission. Furthermore, energy and distance factors are added to ensure uniform and reasonable energy distribution among network nodes, so that the low-power and energy-efficient functional requirements of the wireless sensor network are satisfied. . Experimental results show that the proposed method can improve the network load balancing effectively, avoid the network segmentation caused by premature exhaustion of some nodes, and prolong the lifetime of the network.

Key words: fruit fly algorithm, routing optimization, wireless sensor network

中图分类号: 

  • TP302
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