Research On Data Transmission And Coding In Wireless Sensor Networks

Reliable data transmission and fast data recovery is a great challenge to the current Wireless Sensor Networks (WSN). As a key technology in the application of Wireless Sensor Networks, the coding technique in WSN is attracting more and more attention. Growth codes are a new coding method that can insure the maximum recovery of original data in WSN. And the proper LDPC codes degree distributions selection can make data recovery very quickly.Based on the existing coding theory in WSN, the Growth codes which is suitable for WSN is researched. The data transmission mechanism and the decoding performance based on different degree distributions in WSN are discussed. The main results and contents are as follows:1. The existing protocols in WSN are generalized and simple analyzes on some typical Network protocols are addressed. The present situation of coding method in WSN is illuminated, and it's pointed out that some coding methods are not suitable for WSN. The Growth codes are researched and an improvement is made in its decoder.2. The operating system TinyOS that is widely used in WSN and its language nesC are deeply studied, and a software simulation of data transmission on the Platform of TOSSIM.A comparison with TinyOS to some other operating3. The coding and decoding method of LDPC codes based on graph model is demonstrated and the major factors, degree distributions series in bipartite graph, which will impact the decoding performance of LDPC codes is analyzed. Simulation performance charts and iterative times charts based on different degree distributions are proposed.