A Power Control Algorithm Based on Chicken Game Theory in Multi-Hop Networks
With the development of modern society, there are not only many voice calls being made over wireless communication systems, but there is also a great deal of demand for data services. There are increasing demands from the general public for more information data, especially for high-speed services w...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-05-01
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| Series: | Symmetry |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-8994/11/5/718 |
| _version_ | 1797999146073849856 |
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| author | Jinpeng Wang Ye Zhengpeng Jeremy Gillbanks Tarun M. Sanders Nianyu Zou |
| author_facet | Jinpeng Wang Ye Zhengpeng Jeremy Gillbanks Tarun M. Sanders Nianyu Zou |
| author_sort | Jinpeng Wang |
| collection | DOAJ |
| description | With the development of modern society, there are not only many voice calls being made over wireless communication systems, but there is also a great deal of demand for data services. There are increasing demands from the general public for more information data, especially for high-speed services with elevated Gbps levels. As is well known, higher sending power is needed once data rates increase. In order to solve this problem, virtual cellular networks (VCNs) can be employed in order to reduce these peak power shifts. If a VCN works well, mobile ports will receive their own wireless signals via individual cells, and then, the signals will access core networks with the help of a central terminal. Power control can improve the power capacity in multi-hop networks. However, the use of power control will also have a negative impact on network connectivity, delay, and capacity. In order to address the problem, this paper compares specific control methods and capacities in multi-hop networks. Distributed chicken game algorithm power control (DCGAPC) methods are presented in order to reach acceptable minimum levels of network delay and maximum network capacity and connectivity. Finally, a computer simulation is implemented, and the results are shown. |
| first_indexed | 2024-04-11T10:59:57Z |
| format | Article |
| id | doaj.art-b414cbfbf7284ac092f22c0921db9e5d |
| institution | Directory Open Access Journal |
| issn | 2073-8994 |
| language | English |
| last_indexed | 2024-04-11T10:59:57Z |
| publishDate | 2019-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Symmetry |
| spelling | doaj.art-b414cbfbf7284ac092f22c0921db9e5d2022-12-22T04:28:39ZengMDPI AGSymmetry2073-89942019-05-0111571810.3390/sym11050718sym11050718A Power Control Algorithm Based on Chicken Game Theory in Multi-Hop NetworksJinpeng Wang0Ye Zhengpeng1Jeremy Gillbanks2Tarun M. Sanders3Nianyu Zou4School of Information Science & Engineering, Dalian Polytechnic University, Dalian 116034, ChinaSchool of Information Science & Engineering, Dalian Polytechnic University, Dalian 116034, ChinaSchool of Electronic, Electrical and Computer Engineering, the University of Western Australia, M350, Perth, WA 6009, AustraliaSchool of Electronic, Electrical and Computer Engineering, the University of Western Australia, M350, Perth, WA 6009, AustraliaSchool of Information Science & Engineering, Dalian Polytechnic University, Dalian 116034, ChinaWith the development of modern society, there are not only many voice calls being made over wireless communication systems, but there is also a great deal of demand for data services. There are increasing demands from the general public for more information data, especially for high-speed services with elevated Gbps levels. As is well known, higher sending power is needed once data rates increase. In order to solve this problem, virtual cellular networks (VCNs) can be employed in order to reduce these peak power shifts. If a VCN works well, mobile ports will receive their own wireless signals via individual cells, and then, the signals will access core networks with the help of a central terminal. Power control can improve the power capacity in multi-hop networks. However, the use of power control will also have a negative impact on network connectivity, delay, and capacity. In order to address the problem, this paper compares specific control methods and capacities in multi-hop networks. Distributed chicken game algorithm power control (DCGAPC) methods are presented in order to reach acceptable minimum levels of network delay and maximum network capacity and connectivity. Finally, a computer simulation is implemented, and the results are shown.https://www.mdpi.com/2073-8994/11/5/718multi-hop networkchicken gamepower controlreceiving powertransmitting power |
| spellingShingle | Jinpeng Wang Ye Zhengpeng Jeremy Gillbanks Tarun M. Sanders Nianyu Zou A Power Control Algorithm Based on Chicken Game Theory in Multi-Hop Networks Symmetry multi-hop network chicken game power control receiving power transmitting power |
| title | A Power Control Algorithm Based on Chicken Game Theory in Multi-Hop Networks |
| title_full | A Power Control Algorithm Based on Chicken Game Theory in Multi-Hop Networks |
| title_fullStr | A Power Control Algorithm Based on Chicken Game Theory in Multi-Hop Networks |
| title_full_unstemmed | A Power Control Algorithm Based on Chicken Game Theory in Multi-Hop Networks |
| title_short | A Power Control Algorithm Based on Chicken Game Theory in Multi-Hop Networks |
| title_sort | power control algorithm based on chicken game theory in multi hop networks |
| topic | multi-hop network chicken game power control receiving power transmitting power |
| url | https://www.mdpi.com/2073-8994/11/5/718 |
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