计算机科学与探索 ›› 2021, Vol. 15 ›› Issue (1): 119-131.DOI: 10.3778/j.issn.1673-9418.2003044

• 网络与信息安全 • 上一篇    下一篇

结合相对熵和多跳转发路由的改进WSN节能策略

叶继华,肖波,杨思渝,刘凯,江爱文   

  1. 1. 江西师范大学 计算机信息工程学院,南昌 330022
    2. 南昌大学第一附属医院,南昌 330022
  • 出版日期:2021-01-01 发布日期:2021-01-07

Improved WSN Energy-Saving Strategy Combining Relative Entropy and Multi-hop Forwarding Routing

YE Jihua, XIAO Bo, YANG Siyu, LIU Kai, JIANG Aiwen   

  1. 1. College of Computer Information Engineering, Jiangxi Normal University, Nanchang 330022, China
    2. The First Affiliated Hospital of Nanchang University, Nanchang 330022, China
  • Online:2021-01-01 Published:2021-01-07

摘要:

目前,基于低功耗自适应集簇分层型协议(LEACH)的改进协议大多是从簇头选举、簇的分布、路径选择等方面入手,数据之间的冗余性考虑不够。提出了一种结合相对信息熵的改进LEACH协议(LEACH-CIE),结合相对熵模型,计算节点相邻两个周期数据概率分布的相对熵值,再与阈值进行比较,以此判断数据的冗余度,通过拒绝冗余数据的传输,达到降低网络能耗的目的。在数据发送阶段,考虑通信距离、能耗比等因素,提出一种兼顾自身剩余能量的多跳转发路由(MFRCRE),优化节点转发条件,均衡网络各节点的能量消耗速率。实验结果表明,该方法可以有效地降低并均衡网络节点的能耗以延长网络生存周期。

关键词: 无线传感器网络(WSN), 相对信息熵, 能耗均衡, 多跳转发路由

Abstract:

At present, most of the improved protocols based on LEACH (low energy adaptive clustering hierarchy) start from the aspect of cluster head election, cluster distribution, path selection, etc., but the redundancy between the data is not considered enough. This paper proposes an improved LEACH protocol combining relative information entropy (LEACH-CIE). Combined with the relative entropy model, this paper calculates the relative entropy value of the probability distribution of the data of the two adjacent cycles of the node, and then the relative entropy value is compared with the threshold to judge the redundancy of the data. By rejecting the transmission of redundant data, the purpose of reducing network energy consumption is achieved. In the data send stage, considering the communication distance, energy consumption ratio and other factors, a multi-hop forwarding routing considering its own residual energy (MFRCRE) is proposed, which can optimize node forwarding conditions and balance the energy consumption rate of each node in the network. Experimental results show that the method in this paper can effectively reduce and balance the energy consumption of network nodes to extend the network life cycle.

Key words: wireless sensor network (WSN), relative information entropy, energy balance, multi-hop forwarding routing