Jamming-resilient algorithm for underwater cognitive acoustic networks
Due to the limit spectrum resource in the underwater acoustic networks, underwater cognitive acoustic communication is a promising technique. The channel sharing mechanism in cognitive networks can improve the communication capacity efficiently. Jamming attack is a common deny of service attack in c...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-08-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147717726309 |
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| _version_ | 1832556794230079488 |
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| author | Zixiang Wang Fan Zhen Senlin Zhang Meiqin Liu Qunfei Zhang |
| author_facet | Zixiang Wang Fan Zhen Senlin Zhang Meiqin Liu Qunfei Zhang |
| author_sort | Zixiang Wang |
| collection | DOAJ |
| description | Due to the limit spectrum resource in the underwater acoustic networks, underwater cognitive acoustic communication is a promising technique. The channel sharing mechanism in cognitive networks can improve the communication capacity efficiently. Jamming attack is a common deny of service attack in cognitive networks. In the underwater cognitive acoustic networks, the anti-jamming problem is quite different from cognitive radio networks. It calls for an effective anti-jamming strategy in the cognitive acoustic channel access. In this article, we propose an online learning anti-jamming algorithm called multi-armed bandit–based acoustic channel access algorithm to achieve the jamming-resilient cognitive acoustic communication. The imperfect channel sensing and the constraints of underwater acoustic communication are considered in the anti-jamming game. Under different kinds of jamming attacks, the channel utilization can be improved with our jamming-resilient approach. |
| format | Article |
| id | doaj-art-0c88ddfd3b2843c591b5d6ef0e8e7135 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2017-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-0c88ddfd3b2843c591b5d6ef0e8e71352025-02-03T05:44:19ZengWileyInternational Journal of Distributed Sensor Networks1550-14772017-08-011310.1177/1550147717726309Jamming-resilient algorithm for underwater cognitive acoustic networksZixiang Wang0Fan Zhen1Senlin Zhang2Meiqin Liu3Qunfei Zhang4State Grid Zhejiang Electric Power Research Institute, Hangzhou, ChinaCollege of Electrical Engineering, Zhejiang University, Hangzhou, ChinaCollege of Electrical Engineering, Zhejiang University, Hangzhou, ChinaCollege of Electrical Engineering, Zhejiang University, Hangzhou, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, ChinaDue to the limit spectrum resource in the underwater acoustic networks, underwater cognitive acoustic communication is a promising technique. The channel sharing mechanism in cognitive networks can improve the communication capacity efficiently. Jamming attack is a common deny of service attack in cognitive networks. In the underwater cognitive acoustic networks, the anti-jamming problem is quite different from cognitive radio networks. It calls for an effective anti-jamming strategy in the cognitive acoustic channel access. In this article, we propose an online learning anti-jamming algorithm called multi-armed bandit–based acoustic channel access algorithm to achieve the jamming-resilient cognitive acoustic communication. The imperfect channel sensing and the constraints of underwater acoustic communication are considered in the anti-jamming game. Under different kinds of jamming attacks, the channel utilization can be improved with our jamming-resilient approach.https://doi.org/10.1177/1550147717726309 |
| spellingShingle | Zixiang Wang Fan Zhen Senlin Zhang Meiqin Liu Qunfei Zhang Jamming-resilient algorithm for underwater cognitive acoustic networks International Journal of Distributed Sensor Networks |
| title | Jamming-resilient algorithm for underwater cognitive acoustic networks |
| title_full | Jamming-resilient algorithm for underwater cognitive acoustic networks |
| title_fullStr | Jamming-resilient algorithm for underwater cognitive acoustic networks |
| title_full_unstemmed | Jamming-resilient algorithm for underwater cognitive acoustic networks |
| title_short | Jamming-resilient algorithm for underwater cognitive acoustic networks |
| title_sort | jamming resilient algorithm for underwater cognitive acoustic networks |
| url | https://doi.org/10.1177/1550147717726309 |
| work_keys_str_mv | AT zixiangwang jammingresilientalgorithmforunderwatercognitiveacousticnetworks AT fanzhen jammingresilientalgorithmforunderwatercognitiveacousticnetworks AT senlinzhang jammingresilientalgorithmforunderwatercognitiveacousticnetworks AT meiqinliu jammingresilientalgorithmforunderwatercognitiveacousticnetworks AT qunfeizhang jammingresilientalgorithmforunderwatercognitiveacousticnetworks |