Energy-efficient and intelligent cooperative spectrum sensing algorithm in cognitive radio networks
Green communication is the demand of current and future wireless communication. As the next-generation communication network, cognitive radio network also needs to meet the requirements of green communication. Therefore, improving energy efficiency is an inevitable requirement for the development of...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-09-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/15501329221125119 |
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| _version_ | 1832547334301417472 |
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| author | Tangsen Huang Xiangdong Yin Xiaowu Li |
| author_facet | Tangsen Huang Xiangdong Yin Xiaowu Li |
| author_sort | Tangsen Huang |
| collection | DOAJ |
| description | Green communication is the demand of current and future wireless communication. As the next-generation communication network, cognitive radio network also needs to meet the requirements of green communication. Therefore, improving energy efficiency is an inevitable requirement for the development of cognitive radio networks. However, there is a need to compromise sensing performance while improving energy efficiency. To take into account the two important indicators of sensing performance and energy efficiency, a grouping algorithm is proposed in this article, which can effectively improve the energy efficiency while improving the spectrum sensing performance. The algorithm obtains the initial value of the reliability of the nodes through training, and sorts them according to the highest reliability value, then selects an even number of nodes with the highest reliability value, and divides the selected nodes into two groups, and the two groups of nodes take turns in Alternate work. At this time, other nodes not participating in cooperative spectrum sensing are in a silent state, waiting for the instruction of the fusion center. The experimental results show that compared with the traditional algorithm, the proposed algorithm has a great improvement in the two indicators of sensing performance and energy efficiency. |
| format | Article |
| id | doaj-art-028283309ab749969567ffbe19962b93 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2022-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-028283309ab749969567ffbe19962b932025-02-03T06:45:05ZengWileyInternational Journal of Distributed Sensor Networks1550-14772022-09-011810.1177/15501329221125119Energy-efficient and intelligent cooperative spectrum sensing algorithm in cognitive radio networksTangsen HuangXiangdong YinXiaowu LiGreen communication is the demand of current and future wireless communication. As the next-generation communication network, cognitive radio network also needs to meet the requirements of green communication. Therefore, improving energy efficiency is an inevitable requirement for the development of cognitive radio networks. However, there is a need to compromise sensing performance while improving energy efficiency. To take into account the two important indicators of sensing performance and energy efficiency, a grouping algorithm is proposed in this article, which can effectively improve the energy efficiency while improving the spectrum sensing performance. The algorithm obtains the initial value of the reliability of the nodes through training, and sorts them according to the highest reliability value, then selects an even number of nodes with the highest reliability value, and divides the selected nodes into two groups, and the two groups of nodes take turns in Alternate work. At this time, other nodes not participating in cooperative spectrum sensing are in a silent state, waiting for the instruction of the fusion center. The experimental results show that compared with the traditional algorithm, the proposed algorithm has a great improvement in the two indicators of sensing performance and energy efficiency.https://doi.org/10.1177/15501329221125119 |
| spellingShingle | Tangsen Huang Xiangdong Yin Xiaowu Li Energy-efficient and intelligent cooperative spectrum sensing algorithm in cognitive radio networks International Journal of Distributed Sensor Networks |
| title | Energy-efficient and intelligent cooperative spectrum sensing algorithm in cognitive radio networks |
| title_full | Energy-efficient and intelligent cooperative spectrum sensing algorithm in cognitive radio networks |
| title_fullStr | Energy-efficient and intelligent cooperative spectrum sensing algorithm in cognitive radio networks |
| title_full_unstemmed | Energy-efficient and intelligent cooperative spectrum sensing algorithm in cognitive radio networks |
| title_short | Energy-efficient and intelligent cooperative spectrum sensing algorithm in cognitive radio networks |
| title_sort | energy efficient and intelligent cooperative spectrum sensing algorithm in cognitive radio networks |
| url | https://doi.org/10.1177/15501329221125119 |
| work_keys_str_mv | AT tangsenhuang energyefficientandintelligentcooperativespectrumsensingalgorithmincognitiveradionetworks AT xiangdongyin energyefficientandintelligentcooperativespectrumsensingalgorithmincognitiveradionetworks AT xiaowuli energyefficientandintelligentcooperativespectrumsensingalgorithmincognitiveradionetworks |