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有限马尔可夫链的水声传感器网络协作中继算法

潘志宏 万智萍 谢海明

计算机工程与应用2018,Vol.54Issue(10):121-125,5.
计算机工程与应用2018,Vol.54Issue(10):121-125,5.DOI:10.3778/j.issn.1002-8331.1612-0411

有限马尔可夫链的水声传感器网络协作中继算法

Collaborative relaying algorithm for underwater acoustic sensor net-works with finite Markov chains

潘志宏 1万智萍 1谢海明2

作者信息

  • 1. 中山大学 新华学院,广州510520
  • 2. 广东移动通信有限责任公司 茂名分公司,广东 茂名525000
  • 折叠

摘要

Abstract

In order to address the high error rate and low energy efficiency on underwater sensor network,a collaborative relaying algorithm on underwater acoustic sensor networks is proposed based on the analysis of Markov chain state space. Firstly,the algorithm obtains the error rate and the energy state of the cooperative node by Markov chain state space.Then based on the energy policy to determine the transit node,so that the network gives priority to the data transmission which has been collected to enhance the transmission efficiency.Finally,the cooperative node state evaluation function based on the optimal relay selection is proposed,which makes the network select the cooperative node with the highest evaluation result as the forwarding node,and reduces the bit error rate and energy loss in the data transmission process.Experimental results show that, the algorithm compared with the underwater network adaptive protocol and underwater acoustic net-work protocol based on enhanced energy balance data transmission,the average packet delivery success rate is improved by 2.3% and 3.1% respectively, and the network energy efficiency is increased by 10.6% and 5.8% respectively, which has good results in improving the efficiency of data transmission and reducing network energy consumption.

关键词

水声传感器网络/协作中继/有限马尔可夫链/中转节点/状态评价函数

Key words

underwater acoustic sensor network/cooperative relay/finite Markov chain/transit node/state evaluation function

分类

信息技术与安全科学

引用本文复制引用

潘志宏,万智萍,谢海明..有限马尔可夫链的水声传感器网络协作中继算法[J].计算机工程与应用,2018,54(10):121-125,5.

基金项目

广东省普通高校青年创新人才项目(自然科学)(No.2016KQNCX222,No.2014KQNCX253). (自然科学)

计算机工程与应用

OA北大核心CSCDCSTPCD

1002-8331

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