期刊文献+

关于无线网络用户通信信息精准分流仿真 被引量:2

Simulation of Precise Distribution of Communication Information for Wireless Network Users
下载PDF
导出
摘要 由于网络通信信息量庞大,在传输过程中容易造成网络拥堵,导致用户信息传输效率偏低。对无线网络用户通信信息传输分流问题的研究,能够有效改善网络拥堵现象,充分提高用户通信效率。对通信信息的分流,需要计算节点之间发送信息量,计算在数据收集周期内节点的总能耗,完成信息精准分流。传统方法先建立网络能量消耗模型,以最小能量消耗为目标进行分流,但忽略了得到节点的总能耗量,导致分流精度偏低。提出基于链路调制的无线网络用户通信信息精准分流方法,计算节点之间发送信息量,降低数据丢失概率,计算节点在数据收集周期内的总能耗,根据能耗结果实现通信信息分流,提高无线网络带宽的利用效率。实验结果表明,所提分流方法使用后,通信信息中含有的噪声较少,丢包率和流破坏率较低,保证了通信信息的效率,对无线网络快速安全运行具有促进意义。 This paper proposed a method for precisely shunting communicated information of user in wireless network based on link modulation. In this method, the information amount between nodes was calculated to reduce the probability of data loss. Then, the total energy consumption of nodes in the period of data collection is calculated. According to the result of energy consumption, the distributary of information communication was realized and the utilization efficiency of wireless network bandwidth was improved. Simulation results show that, after using proposed method, the communication information has less noise. The packet loss rate and flow failure rate are low. The efficiency of information communication is guaranteed. The method has significance to promote rapid and safe operation of wireless network.
作者 边璐 BIAN Lu(Information Media College, Yinehuan Energy Institute, Yinehaun Ningxia 750100, China)
出处 《计算机仿真》 北大核心 2018年第6期317-320,共4页 Computer Simulation
关键词 无线网络 通信信息 精准分流 Wireless network Communication information Precise distributary
  • 相关文献

参考文献9

二级参考文献90

  • 1程思霖.基于四网协同下的WLAN发展策略及数据分流研究[J].电信工程技术与标准化,2013,26(10):20-23. 被引量:2
  • 2胡晓敏.无线传感器网络Agent数据分流策略[J].新型工业化,2013,2(4):103-112. 被引量:18
  • 3Lyengar SS,Brooks RR.Distributed Sensor Networks:Sensor Networking and Applications[M].Boca Raton,Florida:Chemical Rubber Company Press,2012.
  • 4Dargie W,Christian P.Fundamentals of Wireless Sensor Networks:Theory and Practice[M].John Wiley & Sons Press,2010.
  • 5Li HQ,Guo Q,Tang T.Distributed resource allocation for cognitive radio network with imperfect spectrum sensing.Vehicular Technology Conference,2013 IEEE 78th[C].Las Vegas:IEEE,2013.1-6.
  • 6Yuen K,B Liang,Li B C.A distributed framework for correlated data gathering in sensor networks[J].IEEE Transactions on Vehicular Technology,2008,57(1):578-593.
  • 7Madan R,Lall S.Distributed algorithms for maximum lifetime routing in wireless sensor networks[J].IEEE Transaction on Wireless Communications,2006,5(8):2185-2193.
  • 8He S B,Chen J M,Yau D K,Sun Y X.Cross-layer optimization of correlated data gathering in wireless sensor networks[J].IEEE Transactions on Mobile Computing,2012,11(11):1678-1691.
  • 9Abdulla A,Nishiyama H,Yang J.Hymn:A novel hybrid multi-hop routing algorithm toimprove the longevity of WSNs[J].IEEE Transactions on Wireless Communications,2012,11(7):2531-2541.
  • 10Chen J M,Xu W Q,He S B.Utility-based asynchronous flow control algorithm for wireless sensor networks[J].IEEE Journal Selected Areas on Communications,2010,28(7):1116-1126.

共引文献99

同被引文献12

引证文献2

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部