Energy-Saving Model on Distributed Random Nodes in Wireless Sensor Networks
The purpose of the authors' study is to try to extend the life of the sensor network, without affecting the uses functions in wireless sensor networks. As their method reduces the amount of data communications and reduces the energy consumption of wireless sensor networks significantly, the compression problem in the data transferring process is solved. From the experiments, they conclude that this algorithm improves the decoding accuracy and improves the survival time of the network. Therefore, it has a great potential in the wireless sensor networks applications.