摘要
针对无线传感网络中节点信任评估的模糊性以及信任决策动态演化问题,给出一种基于模糊理论的无线传感网络节点信任演化模型。该模型引入了节点的主观信任模糊性,有效提高了信任值分类的精确度。以节点信任策略选择的演化过程为基础,推导出节点信任演化过程中的复制动态方程以及在某种条件下演化稳定策略存在的定理,对传感器节点的信任管理机制做出了改进。仿真说明了模糊信任值计算模型的健壮性,验证了定理结论并分析了奖励机制对稳定状态的影响。
In order to solve the problems of trust evaluation fuzziness and dynamic evolution of trust decision for nodes in wireless sensornetworks,this article presents a fuzzy theory-based evolutionary model for trust of nodes in WSNs. The model introduces the subjective trustfuzziness of nodes, and effectively improves the accuracy of trust value classification. On the basis of evolutionary process of trust strategyselection of sensor nodes,it deduces the replicator dynamic equation in sensor nodes, trust evolution process and the theorem of evolutionarystable strategy existence under certain conditions, as well as improves the trust management mechanism of WSNs nodes. Simulation explainsthe robustness of fuzzy trust value calculation model, verifies the theorem conclusion and analyses the influence of incentive mechanism onsteady-state.
作者
梁锺烨
曹奇英
沈士根
Liang Zhongye;Cao Qiying;Shen Shigen(College of Computer Science and Technology ,Donghua University, Shanghai 201620 , China;Department of Computer Science and Engineering, Shaoxing University, Shaoxing 312000, Zhejiang, China;College of Mathematics , Physics and Information Engineering, Jiaxing University, Jiaxing 314001 , Zhejiang, China)
出处
《计算机应用与软件》
CSCD
2016年第8期131-135,共5页
Computer Applications and Software
基金
国家自然科学基金项目(61272034)
关键词
无线传感网络
模糊理论
信任
演化博弈
奖励机制
Wireless sensor networks (WSNs) Fuzzy theory Trust Evolutionary game Incentive mechanism
