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

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