ABSTRACT
In wireless rechargeable sensor networks (WRSNs), there is a way to use mobile vehicles to charge node and collect data. It is a rational pattern to use two types of vehicles, one is for energy charging, and the other is for data collecting. These two types of vehicles, data collection vehicles (DCVs) and wireless charging vehicles (WCVs), are employed to achieve high efficiency in both data gathering and energy consumption. To handle the complex scheduling problem of multiple vehicles in large-scale networks, a twice-partition algorithm based on center points is proposed to divide the network into several parts. In addition, an anchor selection algorithm based on the tradeoff between neighbor amount and residual energy, named AS-NAE, is proposed to collect the zonal data. It can reduce the data transmission delay and the energy consumption for DCVs' movement in the zonal. Besides, we design an optimization function to achieve maximum data throughput by adjusting data rate and link rate of each node. Finally, the effectiveness of proposed algorithm is validated by numerical simulation results in WRSNs.
ABSTRACT
MicroRNAs (miRNAs) are a class of non-coding single-stranded RNA molecules, about 22 nucleotides in length, and highly conserved in evolution. They participate in a variety of important biological processes, including the development, differentiation, and apoptosis of eukaryotes. Recent studies have discovered that miRNAs play important roles in the development of primordial germ cells, spermatogenesis, and the process of fertilization.
