CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
一种学习的水声传感器网络ALOHA协议
Authors
林文
林灿
程恩
陈柯宇
Publication date
28 June 2019
Publisher
Abstract
针对水下随机竞争MAC协议产生的数据之间的严重碰撞问题,依据网络学习的理念,提出了一种基于学习的L-ALOHA(Learning-ALOHA)协议,协议中的每个传感器节点通过不断地学习来寻找各自节点的最佳传输时间,并选择最佳时刻传输数据包.仿真结果表明:L-ALOHA协议在吞吐量和平均端到端时延方面优于UW-ALOHA(Underwater ALOHA)协议和UWS-ALOHA(Slotted ALOHA)协议.福建省自然科学基金项目(2017J05109);;\n电子信息与控制福建省高校工程研究中心开放基金项目(EIC1706
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
Xiamen University Institutional Repository
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:dspace.xmu.edu.cn:2288/177...
Last time updated on 20/11/2020