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Opportunistic Transmission Mechanism Based on QoS Sensing and Cooperative Competition in Mobile Crowd Sensing Network

YUAN Guixia 1,ZHOU Xianchun 2   

  1. (1.College of Information and Electrical Engineering,Jiangsu Open University,Nanjing 210017,China; 2.School of Electronic and Information Engineering,Nanjing University of Information Science and Technology,Nanjing 210041,China)
  • Received:2015-06-29 Online:2016-08-15 Published:2016-08-15

移动群智感知网络中基于QoS感知与协作竞争的机会传输机制

袁桂霞1,周先春2   

  1. (1.江苏开放大学 信息与机电工程学院,南京 210017; 2.南京信息工程大学 电子与信息工程学院,南京 210041)
  • 作者简介:袁桂霞(1978-),女,副教授、硕士,主研方向为无线传感器网络;周先春,副教授、博士。
  • 基金资助:

    国家自然科学基金资助项目(11202106, 61201444);教育部高等学校博士学科点专项科研基金资助项目(20123228120005);江苏省高校自然科学研究基金资助项目(15KJD520003)。

Abstract:

To improve the efficiency of data sensing,collection and transmission in mobile crowd sensing network,this paper presents an opportunistic transmission mechanism based on QoS sensing and cooperative competition.In the mechanism,a mobile crowd sensing network model of multi-relay mobile node cooperative transmission is established based on spatial frequency correlation.The sensing area is divided according to the opportunity perception cycle and data acquisition frequency.The QoS sensing analysis model including measures like throughput,transmission delay and packet loss rate is built based on the mobile node dynamic transmission model.In order to weaken channel contention and optimize power allocation,this paper designs a cooperation and competition strategy.Analysis results show that the proposed mechanism has higher throughput as well as lower delay,packet loss rate and transmission load compared with direct transmission scheme and cooperative transmission scheme without direct transmission path.

Key words: Wireless Sensor Network(WSN), Markov chain model, opportunistic communication, topology reconstruction, topology evolution, invulnerability

摘要:

为提高移动群智感知网络中的数据感知、收集和传输效率,提出一种基于服务质量(QoS)感知和协作竞争的机会传输机制。基于空频相关性,建立多中继移动节点协作传输的移动群智感知网络模型,根据机会感知周期和数据采集频域划分感知区域。在移动节点动态转移模型的基础上,构建包括吞吐率、传输延迟及丢包率等测度的QoS感知分析模型,并设计协作竞争策略弱化信道竞争及优化功率分配。分析结果表明,与直接传输方案、无直接传输路径的协作传输方案相比,该机制具有更高的吞吐率,更低的延迟、丢包率和传输负载。

关键词: 无线传感器网络, 马尔科夫链模型, 机会通信, 拓扑重构, 拓扑演化, 抗毁性

CLC Number: