Research Article
An Energy-Efficient Dynamic Spectrum Access Approach for Internet of Things Applications
@INPROCEEDINGS{10.1007/978-3-030-97124-3_9, author={Jianguang Chen and Dingde Jiang and Wei Yang and Xiaoqian Fan}, title={An Energy-Efficient Dynamic Spectrum Access Approach for Internet of Things Applications}, proceedings={Simulation Tools and Techniques. 13th EAI International Conference, SIMUtools 2021, Virtual Event, November 5-6, 2021, Proceedings}, proceedings_a={SIMUTOOLS}, year={2022}, month={3}, keywords={Energy efficiency Channel allocation Sleeping mechanism Spectrum access Cognitive networks}, doi={10.1007/978-3-030-97124-3_9} }- Jianguang Chen
Dingde Jiang
Wei Yang
Xiaoqian Fan
Year: 2022
An Energy-Efficient Dynamic Spectrum Access Approach for Internet of Things Applications
SIMUTOOLS
Springer
DOI: 10.1007/978-3-030-97124-3_9
Abstract
Energy efficiency has become the main problem of the communication network for sustainable development. The highly energy-efficient communication has become research focus and hotspot. Traditional network designs only consider network efficiency or network minimum energy consumption, but rarely consider maximum energy efficiency of networks. This paper presents an energy-efficient dynamic spectrum access approach for internet of things applications. We consider that communications between secondary users does not affect normal communications of primary users. The minimum interference problem between secondary users and primary users is discussed. By taking maximal energy efficiency as the optimal goal, we propose the energy efficient channel allocation strategy and sleeping mechanism. Then by minimizing the interference between secondary users and primary users, we can improve system throughput. The sleeping mechanism is utilized to minimize network energy consumption and establish the end-to-end cognitive multi-hop routing. Simulation results show that our algorithm is effective and feasible.
