Design And Implementation Of Reducing Data Transmission Algorithm In Sensor Network

Sensor Network was developed just a few decades ago. During these years, it has a rapid development. And its application area has been extended. It is praised as one of the most valuable technologies in the 21 st century. Together with the communication technology and computer technology, they constitute the three pillars of information technology.Now, researchers pay more and more attention to the study on sensor network. Due to the fact that sensor network will produce large amounts of data, many researchers focus on how to reduce the data transmission. The article is based on the characteristic of sensor networks, studying how to simplify the data transmission effectively, the specific contents are as follows:By using the real data of Intel lab, including temperature data, humility data, and light data, we analyze these data and use chart to demonstrate the possibility of reducing data transmission.Based on the SIP algorithm which was put forward by related researchers, the paper introduces the core idea of it, that is, a node only transmits that which the receiver does not expect.According to the idea of the algorithm, in this paper, we studied three algorithms, L-SIP, Class Act, and BN. We evaluate the feasibility and performance of these three algorithms by performing simulation using real data from Intel Lab. And then we compared and analyzed them.In the simulation, we design different values of parameters according to the characteristic of each algorithm. The results show, all the three algorithms can greatly reduce the amount of data transmission, which can be reduced to 5% or even lower. It proves that the three algorithms are effective while the performance is not influenced greatly.