能耗均衡与节能的自适应水下路由协议
Energy consumption balanced and energy saving adaptive underwater routing protocol
赵德腾 1王敏 2刘淳1
作者信息
- 1. 云南师范大学信息学院,云南昆明 650500
- 2. 云南师范大学信息学院,云南昆明 650500;云南师范大学 民族教育信息化教育部重点实验室,云南 昆明 650500
- 折叠
摘要
针对水下传感器网络中节点能耗不均衡和能量有限的问题,提出一种能耗均衡与节能的 自适应水下路由协议ECBES(energy consumption balanced and energy saving adaptive underwater routing protocol).构建双区非均匀分层拓扑.基于能耗均衡因子,利用拓扑和节点剩余能量计算节点转发优先级,实现自适应转发节点选择,均衡网络能耗.与此同时,通过候选转发区域各分区域中节点参与转发数据包的比例确定次优候选转发区域,将次优候选转发区域作为初始策略,利用策略迭代思想确定最优候选转发区域,保证投递率的同时减少不同网络规模中重复数据包的转发,降低网络的整体能耗.仿真结果表明,ECBES相比VBF、ES-VBF和ALRP,在不同节点数量下,节点死亡率均最低,在保证数据包投递率的同时,能耗最少.
Abstract
In view of the unbalanced energy consumption and limited energy of nodes in underwater sensor networks(UWSNs),the energy consumption balanced and energy saving adaptive underwater routing protocol,ECBES,was proposed.A dual-region non-uniform hierarchical topology was constructed.Based on the energy consumption balance factor,the node forwarding priority was calculated using the topology and node residual energy,so as to realize adaptive forwarding node selection to balance the networks energy consumption.The sub optimal candidate forwarding region was determined by the proportion of nodes participating in for-warding packets in each sub region of the candidate forwarding region.The sub optimal candidate forwarding region was taken as the initial strategy,and the optimal candidate forwarding region was determined by using the idea of strategy iteration.While ensuring the delivery rate,duplicate packets were significantly reduced in different network scales,and the overall energy con-sumption of the networks was reduced.Simulation results show that compared with VBF,ES-VBF and ALRP,ECBES has the lowest node mortality under different number of nodes,and the lowest energy consumption while ensuring the packet delivery rate.
关键词
水下传感器网络/水下路由协议/能耗均衡/节能/双区非均匀分层/自适应转发节点选择/最优候选转发区域Key words
underwater sensor networks(UWSNs)/underwater routing protocol/energy consumption balanced/energy saving/dual-region non-uniform hierarchical/adaptive forwarding node selection/optimal candidate forwarding region引用本文复制引用
基金项目
国家自然科学基金项目(62262073)
云南省应用基础研究计划基金项目(202101AT070098)
云南省教育厅科学研究基金项目(2021J0429)
出版年
2024
NETL
NSTL
万方数据