An Energy Efficient Spectrum Sensing Algorithm in EH-HCRSN

Abstract

In order to make up for the extra energy consumption caused by spectrum sensing and prolong the network lifetime, the energy harvesting (EH) module is introduced to the spectrum sensing nodes in cognitive radio sensor network (CRSN) and thus forms one new type of network: EH-aided node-heterogeneous CRSN. Take into account the fact that the existing spectrum sensing algorithms are difficult to be applied to the real practice (due to the high cost of algorithm implementation or network deployment) and may lead to the waste of channel and energy resources, an energy-efficient spectrum sensing algorithm is proposed in this paper. The proposed algorithm can maximize the energy utilization efficiency under the premise of detecting enough available time of channels, which is of great significance to reduce the network deployment cost and promote the green communication of wireless sensor network and even the largescale deployment of Internet of Things applications. The simulation results demonstrate that the proposed algorithm can greatly improve the energy utilization efficiency of spectrum sensing nodes and channel utilization and significantly reduce the deployment cost of network equipments.

Keywords

• Cognitive radio sensor networks (CRSN)
• energy harvesting (EH)
• energy efficiency
• spectrum sensing (SS)
• Internet of Things (IoT)