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基于进化博弈论的水声传感器网络介质访问控制协议 被引量：2

Evolutionary game theory based media access control protocol in underwater acoustic sensor networks
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摘要 为降低水声传感器网络低带宽、高延迟的特性对介质访问控制(MAC)层性能的影响,提出一种基于进化博弈论的MAC协议。该协议中,每个传感器节点可以采用空间复用和时间复用两种策略,并利用复制动力学方程得到进化稳定策略,达到进化稳定均衡,提高信道利用率和数据传输效率,进而实现MAC协议的性能优化。仿真实验结果表明,与传统的水声传感器网络MAC协议相比,基于进化博弈论的MAC协议可以提高网络吞吐量以及数据包发送成功率。 In order to decrease the influence caused by low bandwidth and high latency on Media Access Control（ MAC）layer in Underwater Acoustic Sensor Network（ UWASN）, an Evolutionary Game Theory based MAC（ EGT-MAC） protocol was proposed. In EGT-MAC, each sensor node adopted two strategies including spatial multiplexing and temporal multiplexing.With the replication kinetics equation, each strategy got an evolutionary stable strategy and reached stable equilibrium of evolution. In this way, it improved channel utilization rate and data transmission efficiency to achieve performance optimization for MAC protocol. The simulation results show that EGT-MAC can improve the network throughput as well as the transmission rate of data packet.
作者 徐明 刘广钟 孙伟
机构地区 上海海事大学信息工程学院
出处 《计算机应用》 CSCD 北大核心 2014年第11期3160-3163,共4页 journal of Computer Applications
基金 国家自然科学基金资助项目(61202370) 上海市教委科研创新项目(12ZZ151 14YZ110) 上海市智能信息处理重点实验室开放课题(IIPL-2011-008)
关键词 水声传感器网络 介质访问控制协议 进化博弈论 时延 复用 underwater acoustic sensor network Media Access Control（MAC） protocol evolutionary game theory delay multiplexing
分类号 TP393.4 [自动化与计算机技术—计算机应用技术]
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参考文献11

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  • 1黄德斌,许新胜.人类语言的复杂性[J].自然杂志,2005,27(5):278-282. 被引量：1
  • 2李自珍,韩晓卓,李文龙,叶开沅（推荐）.具有生态位构建作用的种群进化动力学模型及其应用研究[J].应用数学和力学,2006,27(3):293-299. 被引量：32
  • 3Katarzyna B., Gaetano C., Simone L. ,et al. ANN-based virtual sensorfor on-line prediction of in-cylinder pressure in a diesel engine[J]. Com- puter Aided Chemical Engineering, 2014 (33):763-768.
  • 4Sungwoo C.,Yotmgjun K., Hyeongki J. ,et al.A graphene force sensor with pressure-amplifying structure[J]. Carbon, 2014(78) : 601-608.
  • 5Sima M., Rapinder S., Hamid F., et al. Energy efficient hybrid wired- cum-wireless sensor network design [J].Joumal of Cleaner Production, 2014 (85) :408-418.
  • 6Emad F., Adil A. S., Muhammad A. M: Improving response time in time critical visual sensor network applications [J]. Ad Hoc Networks, 2014(23) :65-79.
  • 7Jing J., Song L., Xiangyu Y: FBG sensor network for pressure localiza- tion of spacecraft structure based on distance discriminant [J] . International Journal for Light and Electron Optics, 2014, 125(1):404-408.
  • 8Sihong W., Long L., Zhong L. W: Triboelectric nanogenerators as self- powered active sensors[J]. Nano Energy, 2015( 11 ) : 436-462.
  • 9黄跃文,郭亮,王路.基于物联网的灌浆监测系统设计和应用[J].中国水利学会地基与基础工程专业委员会第十一次全国学术技术研讨会论文集,2011.
  • 10肖维斯.物联网在铁路监控安全方面应用[D].北京:北京交通大学,2012.

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计算机应用
2014年 第11期

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