Multi-path fading channel-based estimating model of link quality for wireless sensor networks

  • Authors:

  • Sun Chao;Chen Bai;Zhang Ying;Wang Xinlin;Guo Lipei;Liu Bin

  • Affiliations:

  • Yanshan University, Institute of Information Technology and Engineering and Institute of Electric and Electronic Engineering, Qinhuangdao, China;Yanshan University, Institute of Information Technology and Engineering and Institute of Electric and Electronic Engineering, Qinhuangdao, China;Yanshan University, Institute of Information Technology and Engineering and Institute of Electric and Electronic Engineering, Qinhuangdao, China;Yanshan University, Institute of Information Technology and Engineering and Institute of Electric and Electronic Engineering, Qinhuangdao, China;Yanshan University, Institute of Information Technology and Engineering and Institute of Electric and Electronic Engineering, Qinhuangdao, China;Yanshan University, Institute of Information Technology and Engineering and Institute of Electric and Electronic Engineering, Qinhuangdao, China

  • Venue:
  • WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
  • Year:
  • 2009

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Abstract

Dynamic signal in wireless link is often interfered. So there is a huge challenge when wireless link is estimated. In this paper, multi path fading is introduced into wireless channel and used to analyze bit error rate of wireless link. Then a reality link quality estimating model is built by integrating noise, shadow fading and multi-path fading. The problem that the existing model is too ideal is solved. The model built has the good expansibility to a certain extent. And it can be applied to different environment by changing corresponding parameters.