Energy Efficiency of Decentralized Estimation in Wireless Sensor Networks
Hiroyuki Ohkura, Satoshi Honda · 2014
For WSNs, it is important to improve the accuracy of decentralized estimation and reduce energy consumption however difficult to achieve both of these goals at the same time. In this paer, a Kalman filtering approach with quantization of innovation processes is used for such purposes by following preceeding researches and showing another direction to attain new insights about the balance between energy efficiency and improvement of decentralized estimation.