Evolutionary Game-Based Trust Strategy Adjustment among Nodes in Wireless Sensor Networks
Wireless sensor networks (WSNs) provide network services through the cooperation of sensor nodes, while the basis of cooperation depends on the trust relationships among the nodes. In this paper, we construct an evolutionary game-based trust strategy model among the nodes in WSNs, and we subsequentl...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2015-02-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/818903 |
| _version_ | 1797728776271953920 |
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| author | Yuanjie Li Hongyun Xu Qiying Cao Zichuan Li Shigen Shen |
| author_facet | Yuanjie Li Hongyun Xu Qiying Cao Zichuan Li Shigen Shen |
| author_sort | Yuanjie Li |
| collection | DOAJ |
| description | Wireless sensor networks (WSNs) provide network services through the cooperation of sensor nodes, while the basis of cooperation depends on the trust relationships among the nodes. In this paper, we construct an evolutionary game-based trust strategy model among the nodes in WSNs, and we subsequently introduce a strategy adjustment mechanism into the process of game evolution to make up for the deficiency that the replicator dynamic model cannot reflect the requirement of individual strategy adjustments. Afterward, we derive theorems and inferences in terms of the evolutionary stable state through dynamic analyses, providing a theoretical basis for WSN trust management. Furthermore, we verify the theorems and inferences with different parameter values, especially the trust incentive and the upper limit of data retransmission after packets are lost, and both of them are closely related to the evolutionary stable state. The experiments demonstrated that, under certain conditions, the involved nodes can finally reach a stable state of the system by constantly adjusting their trust strategy. At the same time, the speed of evolution of our strategy adjustment mechanism in achieving the stable state is much faster than that of the usual replicator dynamic evolution method. |
| first_indexed | 2024-03-12T11:19:00Z |
| format | Article |
| id | doaj.art-a655d19ee78f4dc39566b47555cd7ce3 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T11:19:00Z |
| publishDate | 2015-02-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-a655d19ee78f4dc39566b47555cd7ce32023-09-02T01:27:03ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-02-011110.1155/2015/818903818903Evolutionary Game-Based Trust Strategy Adjustment among Nodes in Wireless Sensor NetworksYuanjie Li0Hongyun Xu1Qiying Cao2Zichuan Li3Shigen Shen4 Information Office, Shanghai Lixin University of Commerce, Shanghai 201620, China College of Information Science and Technology, Donghua University, Shanghai 201620, China College of Computer Science and Technology, Donghua University, Shanghai 201620, China College of Computer Science and Technology, Donghua University, Shanghai 201620, China College of Mathematics Physics and Information Engineering, Jiaxing University, Jiaxing 314001, ChinaWireless sensor networks (WSNs) provide network services through the cooperation of sensor nodes, while the basis of cooperation depends on the trust relationships among the nodes. In this paper, we construct an evolutionary game-based trust strategy model among the nodes in WSNs, and we subsequently introduce a strategy adjustment mechanism into the process of game evolution to make up for the deficiency that the replicator dynamic model cannot reflect the requirement of individual strategy adjustments. Afterward, we derive theorems and inferences in terms of the evolutionary stable state through dynamic analyses, providing a theoretical basis for WSN trust management. Furthermore, we verify the theorems and inferences with different parameter values, especially the trust incentive and the upper limit of data retransmission after packets are lost, and both of them are closely related to the evolutionary stable state. The experiments demonstrated that, under certain conditions, the involved nodes can finally reach a stable state of the system by constantly adjusting their trust strategy. At the same time, the speed of evolution of our strategy adjustment mechanism in achieving the stable state is much faster than that of the usual replicator dynamic evolution method.https://doi.org/10.1155/2015/818903 |
| spellingShingle | Yuanjie Li Hongyun Xu Qiying Cao Zichuan Li Shigen Shen Evolutionary Game-Based Trust Strategy Adjustment among Nodes in Wireless Sensor Networks International Journal of Distributed Sensor Networks |
| title | Evolutionary Game-Based Trust Strategy Adjustment among Nodes in Wireless Sensor Networks |
| title_full | Evolutionary Game-Based Trust Strategy Adjustment among Nodes in Wireless Sensor Networks |
| title_fullStr | Evolutionary Game-Based Trust Strategy Adjustment among Nodes in Wireless Sensor Networks |
| title_full_unstemmed | Evolutionary Game-Based Trust Strategy Adjustment among Nodes in Wireless Sensor Networks |
| title_short | Evolutionary Game-Based Trust Strategy Adjustment among Nodes in Wireless Sensor Networks |
| title_sort | evolutionary game based trust strategy adjustment among nodes in wireless sensor networks |
| url | https://doi.org/10.1155/2015/818903 |
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