计算机科学与探索Issue(7)：821-831,11.DOI:10.3778/j.issn.1673-9418.1410054
基于博弈论的车联网双重激励数据转发机制
Game Theory Based Dual-Incentive Mechanism for Data Forwarding in Vehicular Ad Hoc Network
摘要
Abstract
For saving their own network sources, selfish nodes in VANET (vehicular ad hoc network) will refuse to forward packets received from other nodes, which will reduce network throughput. To solve this problem, people usually add reputation-based or pricing-based incentives making nodes cooperate. Based on the punishment to selfish nodes using reputation mechanism, this paper proposes a dual-incentive mechanism by paying credits to cooperative nodes as reward. This paper also gives a reputation rebuilding model to improve and perfect the punishing mechanism, and then analyzes the behavior of nodes in a single data packet forwarding game from the economic perspective. The results of the theoretical analysis demonstrate that the proposed mechanism is efficient in promoting cooperation while improving the network throughput. The experimental results show that the proposed mechanism makes the packet-loss rate converge quickly, and the vehicle nodes exhibit extremely high forwarding rate.关键词
车联网(VANET)/博弈论/信誉权限/信用度Key words
vehicular ad hoc network (VANET)/game theory/reputation permissions/credit分类
信息技术与安全科学引用本文复制引用
杨树雪,王良民..基于博弈论的车联网双重激励数据转发机制[J].计算机科学与探索,2015,(7):821-831,11.基金项目
The National Natural Science Foundation of China under Grant No.61472001(国家自然科学基金) （国家自然科学基金）
the Industrial Support Program Foundation of Zhenjiang under Grant No. GY2013030(镇江市工业支撑计划项目) （镇江市工业支撑计划项目）
the Academic and Technology Leaders Engineering Projects of Anhui University (安徽大学学术与技术带头人工程项目) （安徽大学学术与技术带头人工程项目）
