Decentralized Distribution Update Algorithm Based on Compressibility-controlled Wireless Sensor Network

Abstract

Sensor network adopts the lossy compression techniques to collect long-term data, analyze the data tendency and the interested specific data model. In these applications, the sensor is established to collect large numbers of continuous data, and allow the access to the lossy and untimely data. In addition, the neighbor sensor data is correlated both in time and in space. Therefore, the data sensed by the sensor itself in the intermediate node and the data will be lossy compressed for prolonging the system operation lifetime. To study the optimal distributed problem of the bite-rate and the lossy degree. When the optimal distribution problem between the bit-rate and the lossy degree is discussed, how to make the optimal decision distributes the compressibility of all sensors in the satisfaction of the acceptable data distorted condition. For adopting the minimum transmittal bit-rate to collect the top-quality data. The optimal solution is introduced for the distribution problem, and the decentralized distribution algorithm is introduced in terms of the optimal solution. Compared with the average distribution strategy, the simulation result shows that the optimal solution and the decentralized actually can reduce large numbers of the network transmittal data volume