Neural-Network Aided Dynamic Control for Delivering Media Streams in Selfish Wireless Networks With Unknown Node-Selfishness
In this paper, we investigate the effect of selfish behaviors on the media stream delivery in selfish wireless networks with selfish relay nodes (RN). The RN's selfish behavior of forwarding media streams, depicted as its degree of node-selfishness (DeNS), is affected by both its available reso...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8359263/ |
| _version_ | 1828963737887834112 |
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| author | Jinglei Li Xinbo Gao Qinghai Yang Wen Gao Kyung Sup Kwak |
| author_facet | Jinglei Li Xinbo Gao Qinghai Yang Wen Gao Kyung Sup Kwak |
| author_sort | Jinglei Li |
| collection | DOAJ |
| description | In this paper, we investigate the effect of selfish behaviors on the media stream delivery in selfish wireless networks with selfish relay nodes (RN). The RN's selfish behavior of forwarding media streams, depicted as its degree of node-selfishness (DeNS), is affected by both its available resources and the received incentives, while an incentive mechanism is employed to depress the selfish behaviors of the RNs having limited available resources. Under the RN's node-selfishness, the optimal incentives are controlled by the sources delivering media streams to maximize the finite-horizon utility, namely, the tradeoff between the path reliability and the incentive cost for delivering media streams during a finite time period. With the unknown node-selfishness owing to the dynamic information about the RNs' available resources and their received incentives being private, we provide a dynamic node-selfishness model to formulate the dynamic of the RN's DeNS, and further design an online neural-networks aided approximation scheme to identify the node-selfishness dynamics and to determine the optimal incentives. The convergence of this scheme is analyzed by Lyapunov techniques. Simulation results demonstrate the effectiveness of delivering media streams. |
| first_indexed | 2024-12-14T10:34:43Z |
| format | Article |
| id | doaj.art-f9f0656d98d8406a87411f46bbad468c |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T10:34:43Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-f9f0656d98d8406a87411f46bbad468c2022-12-21T23:05:59ZengIEEEIEEE Access2169-35362018-01-016317593177110.1109/ACCESS.2018.28332108359263Neural-Network Aided Dynamic Control for Delivering Media Streams in Selfish Wireless Networks With Unknown Node-SelfishnessJinglei Li0https://orcid.org/0000-0002-2604-5827Xinbo Gao1Qinghai Yang2Wen Gao3Kyung Sup Kwak4https://orcid.org/0000-0002-9559-4352State Key Laboratory of ISN, School of Telecommunications Engineering, Xidian University, Xi’an, ChinaState Key Laboratory of ISN, School of Telecommunications Engineering, Xidian University, Xi’an, ChinaState Key Laboratory of ISN, School of Telecommunications Engineering, Xidian University, Xi’an, ChinaCollege of Electrical and Information Engineering, Shaanxi University of Science and Technology, Xi’an, ChinaDepartment of Information and Communication Engineering, Inha University, Incheon, South KoreaIn this paper, we investigate the effect of selfish behaviors on the media stream delivery in selfish wireless networks with selfish relay nodes (RN). The RN's selfish behavior of forwarding media streams, depicted as its degree of node-selfishness (DeNS), is affected by both its available resources and the received incentives, while an incentive mechanism is employed to depress the selfish behaviors of the RNs having limited available resources. Under the RN's node-selfishness, the optimal incentives are controlled by the sources delivering media streams to maximize the finite-horizon utility, namely, the tradeoff between the path reliability and the incentive cost for delivering media streams during a finite time period. With the unknown node-selfishness owing to the dynamic information about the RNs' available resources and their received incentives being private, we provide a dynamic node-selfishness model to formulate the dynamic of the RN's DeNS, and further design an online neural-networks aided approximation scheme to identify the node-selfishness dynamics and to determine the optimal incentives. The convergence of this scheme is analyzed by Lyapunov techniques. Simulation results demonstrate the effectiveness of delivering media streams.https://ieeexplore.ieee.org/document/8359263/Neural networksselfish wireless networksnode-selfishness dynamicsdelivering media streams |
| spellingShingle | Jinglei Li Xinbo Gao Qinghai Yang Wen Gao Kyung Sup Kwak Neural-Network Aided Dynamic Control for Delivering Media Streams in Selfish Wireless Networks With Unknown Node-Selfishness IEEE Access Neural networks selfish wireless networks node-selfishness dynamics delivering media streams |
| title | Neural-Network Aided Dynamic Control for Delivering Media Streams in Selfish Wireless Networks With Unknown Node-Selfishness |
| title_full | Neural-Network Aided Dynamic Control for Delivering Media Streams in Selfish Wireless Networks With Unknown Node-Selfishness |
| title_fullStr | Neural-Network Aided Dynamic Control for Delivering Media Streams in Selfish Wireless Networks With Unknown Node-Selfishness |
| title_full_unstemmed | Neural-Network Aided Dynamic Control for Delivering Media Streams in Selfish Wireless Networks With Unknown Node-Selfishness |
| title_short | Neural-Network Aided Dynamic Control for Delivering Media Streams in Selfish Wireless Networks With Unknown Node-Selfishness |
| title_sort | neural network aided dynamic control for delivering media streams in selfish wireless networks with unknown node selfishness |
| topic | Neural networks selfish wireless networks node-selfishness dynamics delivering media streams |
| url | https://ieeexplore.ieee.org/document/8359263/ |
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