This work is supported by the National Natural Science Foundation of China (No.60873228 and No.60673177), Zhejiang Provincial Natural Science Foundation of China (No.Z105185), and Zhejiang Provincial Qianjiang River Talent Plan (No.2007RlOG2020022).
Power-saving is a critical issue for Wireless sensor networks (WSNs). A Learning-based power efficient routing (LPER) algorithm is proposed. In the LPER, a fitness function, which balances network lifetime, energy...