电信科学 ›› 2015, Vol. 31 ›› Issue (2): 75-79.doi: 10.11959/j.issn.1000-0801.2015032

• 研究与开发 • 上一篇    下一篇

基于潜在博弈的多源多跳无线传感器网络流量分配算法

张伟1,张玲华1,2   

  1. 1 南京邮电大学通信与信息工程学院 南京 210003
    2 江苏省通信与网络技术工程研究中心 南京 210003
  • 出版日期:2015-02-20 发布日期:2017-03-18
  • 基金资助:
    江苏省普通高校研究生科研创新计划基金资助项目

Flow Allocation Algorithm Based on Potential Game in Multi-Source Multi-Hop Wireless Sensor Network

Wei Zhang1,Linghua Zhang1,2   

  1. 1 College of Communication and Information Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
    2 Jiangsu Provincial Engineering Research Center of Telecommunications and Network Technology, Nanjing 210003, China
  • Online:2015-02-20 Published:2017-03-18
  • Supported by:
    The Jiangsu Province Ordinary University Graduate Research and Innovation Program

摘要:

无线传感器网络中存在大量数据,数据融合及网络优化可以有效降低网络能耗,提升网络吞吐量。由于无线传感器网络自身的广播特性,在无线网络中应用网络编码可以带来吞吐量提升等性能增益。考虑将N个源节点的K个数据发送到D个不同目的节点的情况,源节点在自身可用路径上分配流量,利用博弈论研究无线传感器网络流量分配问题,提出了一种动态控制方案,源节点根据效用函数调整路径流量分配,以增加网络编码机会,从而降低网络能耗。理论分析和仿真结果表明,该方案是稳定、有效的。

关键词: 无线传感器网络, 网络编码, 潜在博弈, 数据共享

Abstract:

Data integration and network optimization play an important role in wireless sensor network which is data-centric. Network coding has been used as an efficient method to improve network throughput over wireless environments. The problem of broadcasting K different contents to D destinations from N sources in wireless network was considered. A dynamic control scheme that allows sources split traffic was proposed. The scheme adjusts the traffic based on the utility function to increase the number of coding opportunities. The theoretical analysis and simulation results show that the proposed scheme is stable and effective.

Key words: wireless sensor network, network coding, potential game, data integration

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