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Volume 38 Issue 6
Jun.  2016
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LIU Guangyi, LI Ou, SONG Tao, KONG Fanzeng. Energy-efficiency Data Transmission Method in WSN Based on Bayesian Network[J]. Journal of Electronics & Information Technology, 2016, 38(6): 1362-1367. doi: 10.11999/JEIT151027
Citation: LIU Guangyi, LI Ou, SONG Tao, KONG Fanzeng. Energy-efficiency Data Transmission Method in WSN Based on Bayesian Network[J]. Journal of Electronics & Information Technology, 2016, 38(6): 1362-1367. doi: 10.11999/JEIT151027

Energy-efficiency Data Transmission Method in WSN Based on Bayesian Network

doi: 10.11999/JEIT151027
Funds:

The National Science and Technology Major Projects of China (2014ZX03006003)

  • Received Date: 2015-07-10
  • Rev Recd Date: 2016-02-25
  • Publish Date: 2016-06-19
  • Complexity of wireless environment often poses high bit error problems. For that reason, and also concerning about the great demands on transmission energy consumption for the WSN, a Maximum A Posteriori method based on Bayesian Network (MAP-BN) is proposed for fixing the wrong protocol fields in packets, which is also according to the transmission characteristics of WSN. MAP-BN makes the nodes in WSN have the ability of forward-error-correction without any prior coding before transmitting a packet. To achieve that, Bayesian Network is used to modeling prior information of protocol fields in packets, and Maximum A Posteriori inference which involved a dynamic programming algorithm is used to reduce the computational complexity successfully. The simulation results show that MAP-BN performance is pretty good in the aspect of error control and energy-efficiency.
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