Energy-Efficient Channel Access Considering Data Priority in Cognitive Radio Sensor Networks
Hanmeng Yang, Hongbin Chen · 2019
Wireless sensor network (WSN), as a key provider of big data, will generate a large amount of data, which requires sufficient spectrum and energy resources to transmit. Cognitive radio sensor networks (CRSNs) solve the problem of increasing shortage of spectrum resources in big data environment by using dynamic spectrum access technology, while energy consumption is still the main task of current research. Therefore, in this paper, considering the characteristics of big data, that is, the difference in the amount of data to be transmitted by each node, we propose a dynamic channel access scheme based on data priority and energy consumption minimization, which first allocates transmission power according to the data priority of each node, and then allocates transmission time reasonably to each node aiming at minimizing energy consumption. Finally, the effectiveness of the proposed scheme is proved by simulation results.