… One of the potential solutions to the energy constraint challenge of these nodes is energy
harvesting (EH) technology. This technology also addresses the concerns of green …

… LI Gang, ZHANG Jingxia, CHEN Junjie, XU Zhenfeng 395 Distributed Estimation Based on
Game Theory in Energy Harvesting Wireless Sensor Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . …

… RF energy harvesting-based cognitive radio network (RF EH-CRN), aimming at the maximization
of energy efficiency of secondary user networks by … time and transmission power. The …

… 4 Performance analysis of BS transmit power and EE … Corresponding energy efficiency
statistics of relay power splitting … Throughput analysis of energy harvesting enabled incremental …

… that are difficult to evaluate as these techniques are … analysis of multiple partitioning methods
(a non-linear regression model known as the Reichstein method, artificial neural networks (…

… efficiency, a balance is found between QoS and energy consumption. Less energy
consumption allows the cognitive energy harvesting system to run more steadily and continuously, …

… algorithm is introduced, neural network is used to map the flow field information to the
feedback gain, and genetic algorithm is used to optimize the neural network parameters, so as to …

… Reliability modeling and planning of energy harvesting based on uncertainty theory[J]. …
Performance analysis of m*n equalizer based minimum mean square error (MMSE) receiver for …

… Only the net area was considered in this analysis. Most (74%) of area netted out of the
land base was composed of low productivity stands of black spruce or pine. The mean …

… an evaluation of the performance of … the non-linear relationship between these variables.
The SPL regression model used in this study is an alternative way to describe the non-linear …