一种学习的水声传感器网络ALOHA协议  

A learning-based ALOHA protocol for underwater acoustic sensor networks

作　　者：林灿 陈柯宇[1,2] 程恩 林文[2,3] LIN Can;CHEN Keyu;CHENG En;LIN Wen(Key Laboratory of Underwater Acoustic Communication and Marine Information Technology of Ministry of Education, Xiamen University, Xiamen 361005, China;Engineering Research Center of Electronic Information and Control in Universities of Fujian Province, Minjiang University, Fuzhou 350108, China;College of Computer and Control Engineering, Minjiang University, Fuzhou 350108, China)

机构地区：[1]厦门大学水声通信与海洋信息技术教育部重点实验室,福建厦门361005 [2]闽江学院电子信息与控制福建省高校工程研究中心,福建福州350108 [3]闽江学院计算机与控制工程学院,福建福州350108

出　　处：《哈尔滨工程大学学报》2020年第5期705-711,共7页Journal of Harbin Engineering University

基　　金：福建省自然科学基金项目(2017J05109);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)。

摘　　要：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,本文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。Aiming at the serious collision problem between data generated by the MAC protocol for underwater random competition,a learning-based L-ALOHA(Learning-ALOHA)protocol is proposed based on the concept of network learning.Each sensor node in the protocol searches for the optimal transmission time of each node through continuous learning and selects the optimal time to transmit data packets.Simulation results show that the L-ALOHA protocol is superior to the UW-ALOHA(underwater ALOHA)protocol and the UWS-ALOHA(underwater slotted ALOHA)protocol in terms of throughput and average end-to-end delay.

关 键 词：水声通信 信道资源 随机竞争 L-ALOHA协议 学习 最佳传输时刻 吞吐量 平均端到端时延 

分 类 号：TN929.3[电子电信—通信与信息系统]