Multi-domain collaborative anti-jamming based on multi-agent deep reinforcement learning
Dynamic transmission requirements and the limited cache space bring great challenges to wireless data transmission in the malicious jamming environment.Aiming at the above problems, a collaborative anti-jamming channel selection and data scheduling joint decision method for distributed internet of t...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2022-12-01
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| Series: | 物联网学报 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00293/ |
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| _version_ | 1841533692374155264 |
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| author | Biao ZHANG Ximing WANG Yifan XU Wen LI Hao HAN Songyi LIU Xueqiang CHEN |
| author_facet | Biao ZHANG Ximing WANG Yifan XU Wen LI Hao HAN Songyi LIU Xueqiang CHEN |
| author_sort | Biao ZHANG |
| collection | DOAJ |
| description | Dynamic transmission requirements and the limited cache space bring great challenges to wireless data transmission in the malicious jamming environment.Aiming at the above problems, a collaborative anti-jamming channel selection and data scheduling joint decision method for distributed internet of things was studied from the perspective of frequency domain and time domain.A data transmission model based on multi-user Markov decision process was constructed and a collaborativeanti-jamming joint-channel-and-data decision algorithm based on multi-agent deep reinforcement learning was proposed.Simulation results show that the proposed algorithm can effectively avoid the malicious jamming and the co-channel interference.Compared with the comparison algorithm, the network throughput is significantly improved, and the number of packet dropout is significantly reduced. |
| format | Article |
| id | doaj-art-145cfdd533d24827a550abaa7e33eaf3 |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2022-12-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-145cfdd533d24827a550abaa7e33eaf32025-01-15T02:54:47ZzhoChina InfoCom Media Group物联网学报2096-37502022-12-01610411659580563Multi-domain collaborative anti-jamming based on multi-agent deep reinforcement learningBiao ZHANGXiming WANGYifan XUWen LIHao HANSongyi LIUXueqiang CHENDynamic transmission requirements and the limited cache space bring great challenges to wireless data transmission in the malicious jamming environment.Aiming at the above problems, a collaborative anti-jamming channel selection and data scheduling joint decision method for distributed internet of things was studied from the perspective of frequency domain and time domain.A data transmission model based on multi-user Markov decision process was constructed and a collaborativeanti-jamming joint-channel-and-data decision algorithm based on multi-agent deep reinforcement learning was proposed.Simulation results show that the proposed algorithm can effectively avoid the malicious jamming and the co-channel interference.Compared with the comparison algorithm, the network throughput is significantly improved, and the number of packet dropout is significantly reduced.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00293/collaborative anti-jammingchannel selectiondata schedulingmulti-agent reinforcement learningdeep learning |
| spellingShingle | Biao ZHANG Ximing WANG Yifan XU Wen LI Hao HAN Songyi LIU Xueqiang CHEN Multi-domain collaborative anti-jamming based on multi-agent deep reinforcement learning 物联网学报 collaborative anti-jamming channel selection data scheduling multi-agent reinforcement learning deep learning |
| title | Multi-domain collaborative anti-jamming based on multi-agent deep reinforcement learning |
| title_full | Multi-domain collaborative anti-jamming based on multi-agent deep reinforcement learning |
| title_fullStr | Multi-domain collaborative anti-jamming based on multi-agent deep reinforcement learning |
| title_full_unstemmed | Multi-domain collaborative anti-jamming based on multi-agent deep reinforcement learning |
| title_short | Multi-domain collaborative anti-jamming based on multi-agent deep reinforcement learning |
| title_sort | multi domain collaborative anti jamming based on multi agent deep reinforcement learning |
| topic | collaborative anti-jamming channel selection data scheduling multi-agent reinforcement learning deep learning |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00293/ |
| work_keys_str_mv | AT biaozhang multidomaincollaborativeantijammingbasedonmultiagentdeepreinforcementlearning AT ximingwang multidomaincollaborativeantijammingbasedonmultiagentdeepreinforcementlearning AT yifanxu multidomaincollaborativeantijammingbasedonmultiagentdeepreinforcementlearning AT wenli multidomaincollaborativeantijammingbasedonmultiagentdeepreinforcementlearning AT haohan multidomaincollaborativeantijammingbasedonmultiagentdeepreinforcementlearning AT songyiliu multidomaincollaborativeantijammingbasedonmultiagentdeepreinforcementlearning AT xueqiangchen multidomaincollaborativeantijammingbasedonmultiagentdeepreinforcementlearning |